🎯 What you'll need to succeed in this role:
Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Information Systems, or a related field
Several years of proven experience working with AI applications and modern AI technologies (e.g. ML, Generative AI, LLMs, Agentic AI)
Experience with major AI frameworks such as TensorFlow or PyTorch
Experience with AI cloud platforms (e.g. AWS, Azure, SAP AI)
Strong understanding of AI architecture design and implementation
Experience with MLOps and production deployment of AI systems
Experience in industrial environments (e.g. predictive maintenance) is a plus
Experience with AI agents and workflow automation is an advantage
Experience building or contributing to AI Centers of Excellence or AI programs is a plus
Excellent communication and presentation skills in English; German is a plus
Willingness to travel (initial onboarding period and occasional workshops)
🎁 Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
We are looking for an AI Solution Architect who will play a key role in shaping and delivering AI strategies for enterprise clients. This position blends technical leadership, architecture design, and strategic advisory. You will act as a trusted expert in AI, helping organizations design scalable solutions, identify high-impact use cases, and bring AI initiatives from concept to production.
🚀 Your main responsibilities:
Act as a go-to expert for AI-related topics across client engagements
Lead the design of end-to-end AI architectures, including data pipelines, model training environments, integrations, and MLOps strategies
Evaluate and select appropriate AI frameworks, tools, and models
Support decision-making processes for make vs. buy AI solutions
Ensure AI solutions comply with security standards, ethical guidelines, and enterprise reliability requirements
Support product management and innovation teams in identifying AI use cases that deliver real business value (e.g. efficiency improvements, customer value)
Contribute to the creation of AI strategy and roadmaps, including ideation workshops, AI hackathons, and architecture discussions
Provide technical leadership in Machine Learning, Generative AI, and Agentic AI
Collaborate with product managers, data scientists, data engineers, and DevOps engineers to bring AI solutions into production
Monitor and improve AI systems using performance metrics, A/B testing, and optimization techniques
Research and evaluate emerging AI technologies and assess their impact on business transformation
Drive knowledge sharing and AI adoption across the organization
🎯 What you'll need to succeed in this role:
Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Information Systems, or a related field
Several years of proven experience working with AI applications and modern AI technologies (e.g. ML, Generative AI, LLMs, Agentic AI)
Experience with major AI frameworks such as TensorFlow or PyTorch
Experience with AI cloud platforms (e.g. AWS, Azure, SAP AI)
Strong understanding of AI architecture design and implementation
Experience with MLOps and production deployment of AI systems
Experience in industrial environments (e.g. predictive maintenance) is a plus
Experience with AI agents and workflow automation is an advantage
Experience building or contributing to AI Centers of Excellence or AI programs is a plus
Excellent communication and presentation skills in English; German is a plus
Willingness to travel (initial onboarding period and occasional workshops)
🎁 Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
We are looking for an AI Solution Architect who will play a key role in shaping and delivering AI strategies for enterprise clients. This position blends technical leadership, architecture design, and strategic advisory. You will act as a trusted expert in AI, helping organizations design scalable solutions, identify high-impact use cases, and bring AI initiatives from concept to production.
🚀 Your main responsibilities:
Act as a go-to expert for AI-related topics across client engagements
Lead the design of end-to-end AI architectures, including data pipelines, model training environments, integrations, and MLOps strategies
Evaluate and select appropriate AI frameworks, tools, and models
Support decision-making processes for make vs. buy AI solutions
Ensure AI solutions comply with security standards, ethical guidelines, and enterprise reliability requirements
Support product management and innovation teams in identifying AI use cases that deliver real business value (e.g. efficiency improvements, customer value)
Contribute to the creation of AI strategy and roadmaps, including ideation workshops, AI hackathons, and architecture discussions
Provide technical leadership in Machine Learning, Generative AI, and Agentic AI
Collaborate with product managers, data scientists, data engineers, and DevOps engineers to bring AI solutions into production
Monitor and improve AI systems using performance metrics, A/B testing, and optimization techniques
Research and evaluate emerging AI technologies and assess their impact on business transformation
Drive knowledge sharing and AI adoption across the organization
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
","kind":"legal","translations":{"en":{"body":"Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
"}},"open_question_options":[]}],"careers_apply_url":"https://addepto.recruitee.com/o/ai-solution-architect/c/new","dynamic_fields":[],"id":2552554,"locations":[{"id":98260,"name":"Warsaw","state":"Mazowieckie","country":"Poland","city":"Warszawa","translations":{"en":{"name":"Warsaw","city":"Warszawa","postal_code":"00-025","street":"Krucza 50","note":null}},"country_code":"PL","state_code":"14","postal_code":"00-025","street":"Krucza 50","note":null}],"employment_type_code":"fulltime_permanent","guid":"fwb4f","location_question_visible":false,"title":"AI Solution Architect","status":"published","updated_at":"2026-04-02 11:40:13 UTC","options_cover_letter":"optional"},{"careers_url":"https://addepto.recruitee.com/o/ai-engineer-gcp","salary":{"max":null,"min":null,"period":"month","currency":"PLN"},"position":74,"highlight":null,"sharing_image":null,"city":"Warszawa","on_site":false,"country_code":"PL","hybrid":false,"mailbox_email":"job.3fh7s@addepto.recruitee.com","sharing_description":"Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for","requirements":"🎯 What you’ll need to succeed in this role:
6+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM, Computer Vision, GenAI).
Experience in leading end-to-end Machine Learning projects and managing cross-functional teams.
Proficiency in developing ML algorithms from scratch to production deployment.
Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch/Tensorflow).
Proven expertise in deploying solutions in cloud environments - GCP
Experience in collecting, analyzing, and monitoring LLM usage data, including token consumption, forecasting, anomaly detection, and optimization of AI workloads.
Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG).
High proficiency in English (C1 level).
Excellent communication skills and consulting experience with direct interaction with clients.
Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks).
Good knowledge of CI/CD principles (GitHub and GitHub Actions).
Familiarity with MLOps practices, Kubernetes and Docker.
Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Physics, or a related field.
Experience with Big Data technologies like Spark, Hadoop, and Kafka is a plus.
🎁 Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
As a AI Engineer (GCP) you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:
LLM usage analytics and optimization platform. This project focuses on collecting and analyzing data related to LLM token usage, including forecasting, anomaly detection, and monitoring AI consumption patterns to improve operational efficiency and cost optimization on GCP.
🚀 Your main responsibilities:
Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives.
Lead the design of AI solution architectures that meet complex business goals and drive innovation.
Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements.
Lead and mentor cross-functional teams, encouraging collaboration and helping everyone grow their skills.
Understand clients' needs and translate business problems into data science problems.
Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security.
Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications..
Present findings and recommendations clearly and concisely to stakeholders.
Prioritize, and control tasks within an Agile/Scrum framework, ensuring timely delivery.
🎯 What you’ll need to succeed in this role:
6+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM, Computer Vision, GenAI).
Experience in leading end-to-end Machine Learning projects and managing cross-functional teams.
Proficiency in developing ML algorithms from scratch to production deployment.
Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch/Tensorflow).
Proven expertise in deploying solutions in cloud environments - GCP
Experience in collecting, analyzing, and monitoring LLM usage data, including token consumption, forecasting, anomaly detection, and optimization of AI workloads.
Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG).
High proficiency in English (C1 level).
Excellent communication skills and consulting experience with direct interaction with clients.
Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks).
Good knowledge of CI/CD principles (GitHub and GitHub Actions).
Familiarity with MLOps practices, Kubernetes and Docker.
Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Physics, or a related field.
Experience with Big Data technologies like Spark, Hadoop, and Kafka is a plus.
🎁 Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
As a AI Engineer (GCP) you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:
LLM usage analytics and optimization platform. This project focuses on collecting and analyzing data related to LLM token usage, including forecasting, anomaly detection, and monitoring AI consumption patterns to improve operational efficiency and cost optimization on GCP.
🚀 Your main responsibilities:
Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives.
Lead the design of AI solution architectures that meet complex business goals and drive innovation.
Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements.
Lead and mentor cross-functional teams, encouraging collaboration and helping everyone grow their skills.
Understand clients' needs and translate business problems into data science problems.
Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security.
Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications..
Present findings and recommendations clearly and concisely to stakeholders.
Prioritize, and control tasks within an Agile/Scrum framework, ensuring timely delivery.
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
","kind":"legal","translations":{"en":{"body":"Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
"}},"open_question_options":[]}],"careers_apply_url":"https://addepto.recruitee.com/o/ai-engineer-gcp/c/new","dynamic_fields":[],"id":2608240,"locations":[{"id":98260,"name":"Warsaw","state":"Mazowieckie","country":"Poland","city":"Warszawa","translations":{"en":{"name":"Warsaw","city":"Warszawa","postal_code":"00-025","street":"Krucza 50","note":null}},"country_code":"PL","state_code":"14","postal_code":"00-025","street":"Krucza 50","note":null}],"employment_type_code":"fulltime_permanent","guid":"3fh7s","location_question_visible":false,"title":"AI Engineer (GCP)","status":"published","updated_at":"2026-05-20 11:11:56 UTC","options_cover_letter":"optional"},{"careers_url":"https://addepto.recruitee.com/o/pre-sales-engineer-ai-big-data","salary":{"max":null,"min":null,"period":"month","currency":"PLN"},"position":70,"highlight":null,"sharing_image":null,"city":"Warszawa","on_site":false,"country_code":"PL","hybrid":false,"mailbox_email":"job.76hoe@addepto.recruitee.com","sharing_description":"Want to be a part of Addepto? Join us!","requirements":"🎯 What you’ll need to succeed in this role:
Undergraduate degree or higher in Computer Science, Data Science, Engineering, or related field - or equivalent hands-on experience.
Proven experience in technical roles - e.g., exposure to AI/ML products, data platforms, consulting services, solution engineering, or cloud architecture.
Foundational understanding of public cloud platforms (AWS, Azure, GCP) with experience deploying cloud-based AI solutions and/or modern data platform architectures.
Comfortable working across multiple clients and projects, often in parallel, with strong organizational and time management skills.
A strong foundational understanding of AI/ML workflows - from data preprocessing and model training to evaluation and deployment.
Familiarity with LLM-based applications, including embeddings, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex).
Working knowledge of MLOps and orchestration tools like MLflow, Airflow, Kubeflow, Vertex AI, or SageMaker.
Proficiency in Python and experience with common AI/ML libraries such as pandas, scikit-learn, PyTorch, or TensorFlow.
Understanding of modern data architectures and data engineering concepts, including ETL/ELT pipelines, big data processing, and cloud data services (e.g., Azure Data Factory, Azure Synapse, Databricks, or similar platforms).
Strong communication skills, with the ability to simplify complex concepts for diverse audiences, including AI engineers, data scientists, data engineers, and non-technical stakeholders.
Excellent English (at least C1 level).
Excellent time management and multitasking ability - comfortable working across several customer projects and internal teams.
➕ Nice to have:
Exposure to or interest in sales processes, technical demos, and customer-facing engagements.
🎁 Discover our perks & benefits:
Work in the rapidly evolving world of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences.
Choose your preferred form of cooperation: B2B or a contract of mandate, and enjoy 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world’s largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company’s work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product – ContextClue – and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
We are looking for a Pre-Sales Engineer to help clients unlock the value of modern AI and data platforms. In this role, you will support organizations in the early stages of their transformation by aligning technical solutions - such as machine learning, LLM-based applications, and cloud data platforms - with their strategic business goals.
You will become an expert in our consulting offerings across AI/ML, LLM integrations, and modern data engineering solutions, acting as a trusted technical advisor during pre-sales engagements. Working closely with sales, delivery, and engineering teams, you will help shape solution concepts, support technical discovery, and ensure a smooth transition from early discussions to project implementation.
🚀 Your main responsibilities:
Serve as a technical advisor during pre-sales and early engagement stages, helping clients understand what’s possible with AI/LLMs and modern data platforms, and how these capabilities align with their strategic business goals.
Lead or support technical discovery sessions, clarifying business problems, identifying solution patterns, and assessing feasibility across both AI/ML and data platform initiatives.
Design and communicate solution architectures, including LLM integrations, AI/ML solution designs, retrieval-augmented generation (RAG), vector databases, orchestration pipelines, and data flows, as well as modern cloud data architectures such as data lakes, data warehouses, and big data processing solutions.
Create and deliver technical PoCs and PoVs, demo narratives, and early prototypes to support proposals and shape delivery, including solutions leveraging AI/ML as well as modern data engineering and analytics platforms.
Contribute to internal R&D by evaluating emerging AI tools, libraries, frameworks, and modern data technologies (e.g., cloud-native data platforms, data engineering tools), and translating insights into recommendations for internal teams and clients.
Collaborate with sales, delivery, and engineering teams to ensure a smooth transition from pre-sales, through technical scoping and solution design, to hand-off to delivery teams and full implementation.
🎯 What you’ll need to succeed in this role:
Undergraduate degree or higher in Computer Science, Data Science, Engineering, or related field - or equivalent hands-on experience.
Proven experience in technical roles - e.g., exposure to AI/ML products, data platforms, consulting services, solution engineering, or cloud architecture.
Foundational understanding of public cloud platforms (AWS, Azure, GCP) with experience deploying cloud-based AI solutions and/or modern data platform architectures.
Comfortable working across multiple clients and projects, often in parallel, with strong organizational and time management skills.
A strong foundational understanding of AI/ML workflows - from data preprocessing and model training to evaluation and deployment.
Familiarity with LLM-based applications, including embeddings, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex).
Working knowledge of MLOps and orchestration tools like MLflow, Airflow, Kubeflow, Vertex AI, or SageMaker.
Proficiency in Python and experience with common AI/ML libraries such as pandas, scikit-learn, PyTorch, or TensorFlow.
Understanding of modern data architectures and data engineering concepts, including ETL/ELT pipelines, big data processing, and cloud data services (e.g., Azure Data Factory, Azure Synapse, Databricks, or similar platforms).
Strong communication skills, with the ability to simplify complex concepts for diverse audiences, including AI engineers, data scientists, data engineers, and non-technical stakeholders.
Excellent English (at least C1 level).
Excellent time management and multitasking ability - comfortable working across several customer projects and internal teams.
➕ Nice to have:
Exposure to or interest in sales processes, technical demos, and customer-facing engagements.
🎁 Discover our perks & benefits:
Work in the rapidly evolving world of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences.
Choose your preferred form of cooperation: B2B or a contract of mandate, and enjoy 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world’s largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company’s work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product – ContextClue – and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
We are looking for a Pre-Sales Engineer to help clients unlock the value of modern AI and data platforms. In this role, you will support organizations in the early stages of their transformation by aligning technical solutions - such as machine learning, LLM-based applications, and cloud data platforms - with their strategic business goals.
You will become an expert in our consulting offerings across AI/ML, LLM integrations, and modern data engineering solutions, acting as a trusted technical advisor during pre-sales engagements. Working closely with sales, delivery, and engineering teams, you will help shape solution concepts, support technical discovery, and ensure a smooth transition from early discussions to project implementation.
🚀 Your main responsibilities:
Serve as a technical advisor during pre-sales and early engagement stages, helping clients understand what’s possible with AI/LLMs and modern data platforms, and how these capabilities align with their strategic business goals.
Lead or support technical discovery sessions, clarifying business problems, identifying solution patterns, and assessing feasibility across both AI/ML and data platform initiatives.
Design and communicate solution architectures, including LLM integrations, AI/ML solution designs, retrieval-augmented generation (RAG), vector databases, orchestration pipelines, and data flows, as well as modern cloud data architectures such as data lakes, data warehouses, and big data processing solutions.
Create and deliver technical PoCs and PoVs, demo narratives, and early prototypes to support proposals and shape delivery, including solutions leveraging AI/ML as well as modern data engineering and analytics platforms.
Contribute to internal R&D by evaluating emerging AI tools, libraries, frameworks, and modern data technologies (e.g., cloud-native data platforms, data engineering tools), and translating insights into recommendations for internal teams and clients.
Collaborate with sales, delivery, and engineering teams to ensure a smooth transition from pre-sales, through technical scoping and solution design, to hand-off to delivery teams and full implementation.
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
","kind":"legal","translations":{"en":{"body":"Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
"}},"open_question_options":[]}],"careers_apply_url":"https://addepto.recruitee.com/o/pre-sales-engineer-ai-big-data/c/new","dynamic_fields":[],"id":2517079,"locations":[{"id":98260,"name":"Warsaw","state":"Mazowieckie","country":"Poland","city":"Warszawa","translations":{"en":{"name":"Warsaw","city":"Warszawa","postal_code":"00-025","street":"Krucza 50","note":null}},"country_code":"PL","state_code":"14","postal_code":"00-025","street":"Krucza 50","note":null}],"employment_type_code":"fulltime_permanent","guid":"76hoe","location_question_visible":false,"title":"Pre-Sales / Solution Engineer (AI & Big Data)","status":"published","updated_at":"2026-04-01 08:14:29 UTC","options_cover_letter":"optional"},{"careers_url":"https://addepto.recruitee.com/o/project-manager","salary":{"max":null,"min":null,"period":"month","currency":"PLN"},"position":68,"highlight":null,"sharing_image":null,"city":"Warszawa","on_site":false,"country_code":"PL","hybrid":false,"mailbox_email":"job.t6gdp@addepto.recruitee.com","sharing_description":"Want to be a part of Addepto? Join us!","requirements":"🎯 What you’ll need to succeed in this role:
Proven experience leading end-to-end IT or software development projects, with full ownership of delivery.
Hands-on experience in projects involving AI, Machine Learning, Data Engineering, Big Data, or advanced software systems.
Strong understanding of the software development lifecycle (SDLC) and practical exposure to engineering environments.
Previous experience in a consulting company, AI/data-focused organization, or software house.
Demonstrated experience working with large, international corporate clients.
Strong client-facing experience - comfortable operating in a consulting and quasi-account management capacity.
Excellent leadership skills and ability to guide senior technical experts.
Outstanding communication and presentation skills.
Fluent English (C1/C2 level) is mandatory, with the ability to independently lead meetings, workshops, and executive discussions.
Strong business mindset and accountability for measurable outcomes.
➕ Nice to have:
Technical background (e.g., Python, SQL, Azure, AWS).
Hands-on experience with Machine Learning, LLMs, Generative AI, Computer Vision, Big Data, or predictive modeling projects.
Experience managing distributed or international teams.
Background in enterprise-scale digital transformation programs.
🎁 Discover our perks & benefits:
Work in the rapidly evolving world of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences.
Choose from various employment options: B2B, employment contracts, or contracts of mandate.
Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world’s largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company’s work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product – ContextClue – and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
As a Project Manager, you will lead complex AI and software development projects end-to-end for international enterprise clients. This is not a task-coordination role. You will act as a delivery owner, consultant, client partner, and team leader - fully accountable for project scope, quality, timelines, stakeholder alignment, and business impact. We are looking for someone who understands how modern software and AI systems are built, how consulting engagements operate, and how to guide both clients and technical teams through complex, high-visibility initiatives.
🚀 Your main responsibilities:
Lead and own end-to-end delivery of AI, Machine Learning, Big Data, and broader IT/software projects - from discovery and requirements gathering through implementation and final delivery.
Act as the primary point of contact and trusted advisor for international, enterprise-level clients.
Manage relationships with senior stakeholders, including executive-level communication.
Ensure alignment between business objectives and technical execution.
Translate complex business challenges into structured, deliverable technical roadmaps.
Drive scope definition, risk management, budgeting, planning, and resource allocation.
Lead and mentor cross-functional teams (Data Scientists, ML Engineers, Data Engineers, Software Engineers).
Support and empower the team as a leader — providing clarity, feedback, and direction.
Identify opportunities to expand collaboration and contribute to account growth.
Participate in pre-sales activities, including shaping solution approaches and connecting technical proposals to business needs.
Contribute to recruitment and team scaling initiatives.
🎯 What you’ll need to succeed in this role:
Proven experience leading end-to-end IT or software development projects, with full ownership of delivery.
Hands-on experience in projects involving AI, Machine Learning, Data Engineering, Big Data, or advanced software systems.
Strong understanding of the software development lifecycle (SDLC) and practical exposure to engineering environments.
Previous experience in a consulting company, AI/data-focused organization, or software house.
Demonstrated experience working with large, international corporate clients.
Strong client-facing experience - comfortable operating in a consulting and quasi-account management capacity.
Excellent leadership skills and ability to guide senior technical experts.
Outstanding communication and presentation skills.
Fluent English (C1/C2 level) is mandatory, with the ability to independently lead meetings, workshops, and executive discussions.
Strong business mindset and accountability for measurable outcomes.
➕ Nice to have:
Technical background (e.g., Python, SQL, Azure, AWS).
Hands-on experience with Machine Learning, LLMs, Generative AI, Computer Vision, Big Data, or predictive modeling projects.
Experience managing distributed or international teams.
Background in enterprise-scale digital transformation programs.
🎁 Discover our perks & benefits:
Work in the rapidly evolving world of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences.
Choose from various employment options: B2B, employment contracts, or contracts of mandate.
Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world’s largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company’s work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product – ContextClue – and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
As a Project Manager, you will lead complex AI and software development projects end-to-end for international enterprise clients. This is not a task-coordination role. You will act as a delivery owner, consultant, client partner, and team leader - fully accountable for project scope, quality, timelines, stakeholder alignment, and business impact. We are looking for someone who understands how modern software and AI systems are built, how consulting engagements operate, and how to guide both clients and technical teams through complex, high-visibility initiatives.
🚀 Your main responsibilities:
Lead and own end-to-end delivery of AI, Machine Learning, Big Data, and broader IT/software projects - from discovery and requirements gathering through implementation and final delivery.
Act as the primary point of contact and trusted advisor for international, enterprise-level clients.
Manage relationships with senior stakeholders, including executive-level communication.
Ensure alignment between business objectives and technical execution.
Translate complex business challenges into structured, deliverable technical roadmaps.
Drive scope definition, risk management, budgeting, planning, and resource allocation.
Lead and mentor cross-functional teams (Data Scientists, ML Engineers, Data Engineers, Software Engineers).
Support and empower the team as a leader — providing clarity, feedback, and direction.
Identify opportunities to expand collaboration and contribute to account growth.
Participate in pre-sales activities, including shaping solution approaches and connecting technical proposals to business needs.
Contribute to recruitment and team scaling initiatives.
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
","kind":"legal","translations":{"en":{"body":"Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
"}},"open_question_options":[]}],"careers_apply_url":"https://addepto.recruitee.com/o/project-manager/c/new","dynamic_fields":[],"id":2504438,"locations":[{"id":98260,"name":"Warsaw","state":"Mazowieckie","country":"Poland","city":"Warszawa","translations":{"en":{"name":"Warsaw","city":"Warszawa","postal_code":"00-025","street":"Krucza 50","note":null}},"country_code":"PL","state_code":"14","postal_code":"00-025","street":"Krucza 50","note":null}],"employment_type_code":"fulltime_permanent","guid":"t6gdp","location_question_visible":false,"title":"Project Manager (AI & Big Data)","status":"published","updated_at":"2026-05-20 09:38:59 UTC","options_cover_letter":"optional"},{"careers_url":"https://addepto.recruitee.com/o/data-engineer-azure-data-factory","salary":{"max":null,"min":null,"period":"month","currency":"PLN"},"position":68,"highlight":null,"sharing_image":null,"city":"Warszawa","on_site":false,"country_code":"PL","hybrid":false,"mailbox_email":"job.mksku@addepto.recruitee.com","sharing_description":"Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for","requirements":"🎯 What you'll need to succeed in this role:
Strong hands-on experience with Azure Data Factory (must-have), including: pipeline and orchestration design, linked services, datasets, triggers, and parameterization, operational monitoring, troubleshooting, and performance tuning, and deployment-aware ADF development in enterprise environments.
Excellent knowledge of Python (Azure Functions, REST APIs, automation).
Strong SQL skills and solid understanding of data modeling for ETL/ELT and warehouse workloads.
Experience with CI/CD processes in Azure DevOps (pipelines, releases, multi-environment deployments).
Solid understanding of Azure services and cloud-based data solutions (e.g., Azure SQL Database, Azure Key Vault).
Experience with Power BI for occasional dashboarding and reporting.
Experience working with modern development practices and tools.
Consulting mindset with proactive communication and strong stakeholder alignment skills.
Ability to effectively collaborate with Product Owner and Architect during planning and delivery.
Independent and responsible approach to delivering high-quality solutions.
Excellent command of English (at least C1 level).
➕ Nice to have:
Knowledge of dbt.
Experience implementing data warehouses on Azure.
🎁 Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
As a Data Engineer, you will have the opportunity to support and further develop an Azure-based data integration solution built primarily around Azure Data Factory (ADF). The current environment includes Azure Functions and ingestion components, but daily delivery is strongly centered on ADF pipeline design, orchestration, monitoring, and continuous improvement.
The project focuses on expanding and stabilizing the existing data platform, including the warehouse layer (Azure SQL Database or Synapse), optional dbt-based transformations, and occasional Power BI reporting support. You will work closely with the client-side Product Owner and Architect, proactively aligning business needs with technical implementation decisions and ensuring high-quality, scalable solutions. Additionally, you will contribute to Azure DevOps CI/CD pipelines and release processes to maintain reliable deployments across environments.
🚀 Your main responsibilities:
Design, develop, and maintain Azure Data Factory pipelines, including orchestration, parameterization, and trigger management.
Configure and manage linked services and datasets within ADF.
Monitor, troubleshoot, and optimize ADF pipelines to ensure performance and reliability.
Develop and maintain ETL/ELT processes and support the evolution of the data warehouse layer (Azure SQL Database or Synapse).
Translate business requirements into technical solutions in close collaboration with the Product Owner and Architect.
Develop and maintain Python-based components (e.g., Azure Functions, API integrations, automation scripts).
Contribute to CI/CD processes in Azure DevOps, including pipelines, releases, and environment promotion.
Support occasional Power BI reporting and dashboarding needs.
Ensure proactive communication, stakeholder alignment, and visibility of risks and impacts.
Take ownership of assigned tasks and actively contribute to continuous platform improvement.
🎯 What you'll need to succeed in this role:
Strong hands-on experience with Azure Data Factory (must-have), including: pipeline and orchestration design, linked services, datasets, triggers, and parameterization, operational monitoring, troubleshooting, and performance tuning, and deployment-aware ADF development in enterprise environments.
Excellent knowledge of Python (Azure Functions, REST APIs, automation).
Strong SQL skills and solid understanding of data modeling for ETL/ELT and warehouse workloads.
Experience with CI/CD processes in Azure DevOps (pipelines, releases, multi-environment deployments).
Solid understanding of Azure services and cloud-based data solutions (e.g., Azure SQL Database, Azure Key Vault).
Experience with Power BI for occasional dashboarding and reporting.
Experience working with modern development practices and tools.
Consulting mindset with proactive communication and strong stakeholder alignment skills.
Ability to effectively collaborate with Product Owner and Architect during planning and delivery.
Independent and responsible approach to delivering high-quality solutions.
Excellent command of English (at least C1 level).
➕ Nice to have:
Knowledge of dbt.
Experience implementing data warehouses on Azure.
🎁 Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
As a Data Engineer, you will have the opportunity to support and further develop an Azure-based data integration solution built primarily around Azure Data Factory (ADF). The current environment includes Azure Functions and ingestion components, but daily delivery is strongly centered on ADF pipeline design, orchestration, monitoring, and continuous improvement.
The project focuses on expanding and stabilizing the existing data platform, including the warehouse layer (Azure SQL Database or Synapse), optional dbt-based transformations, and occasional Power BI reporting support. You will work closely with the client-side Product Owner and Architect, proactively aligning business needs with technical implementation decisions and ensuring high-quality, scalable solutions. Additionally, you will contribute to Azure DevOps CI/CD pipelines and release processes to maintain reliable deployments across environments.
🚀 Your main responsibilities:
Design, develop, and maintain Azure Data Factory pipelines, including orchestration, parameterization, and trigger management.
Configure and manage linked services and datasets within ADF.
Monitor, troubleshoot, and optimize ADF pipelines to ensure performance and reliability.
Develop and maintain ETL/ELT processes and support the evolution of the data warehouse layer (Azure SQL Database or Synapse).
Translate business requirements into technical solutions in close collaboration with the Product Owner and Architect.
Develop and maintain Python-based components (e.g., Azure Functions, API integrations, automation scripts).
Contribute to CI/CD processes in Azure DevOps, including pipelines, releases, and environment promotion.
Support occasional Power BI reporting and dashboarding needs.
Ensure proactive communication, stakeholder alignment, and visibility of risks and impacts.
Take ownership of assigned tasks and actively contribute to continuous platform improvement.
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
","kind":"legal","translations":{"en":{"body":"Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
"}},"open_question_options":[]}],"careers_apply_url":"https://addepto.recruitee.com/o/data-engineer-azure-data-factory/c/new","dynamic_fields":[],"id":2485564,"locations":[{"id":98260,"name":"Warsaw","state":"Mazowieckie","country":"Poland","city":"Warszawa","translations":{"en":{"name":"Warsaw","city":"Warszawa","postal_code":"00-025","street":"Krucza 50","note":null}},"country_code":"PL","state_code":"14","postal_code":"00-025","street":"Krucza 50","note":null}],"employment_type_code":"fulltime_permanent","guid":"mksku","location_question_visible":false,"title":"Data Engineer (Azure Data Factory)","status":"published","updated_at":"2026-03-31 08:16:55 UTC","options_cover_letter":"optional"},{"careers_url":"https://addepto.recruitee.com/o/solution-architect","salary":{"max":null,"min":null,"period":"month","currency":"PLN"},"position":60,"highlight":null,"sharing_image":null,"city":"Warszawa","on_site":false,"country_code":"PL","hybrid":false,"mailbox_email":"job.akg5t@addepto.recruitee.com","sharing_description":"Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for","requirements":"🎯 What you'll need to succeed in this role:
At least 5+ years of proven commercial experience with Java development and strong proficiency in Oracle database technologies, including performance tuning and schema design.
Extensive experience in designing and implementing solutions across both modern, cloud-native architectures and legacy systems.
Hands-on experience with Microsoft Azure services, including but not limited to Azure Compute, Networking, Storage, Azure Application Gateway, and Azure Cache for Redis.
Event streaming and messaging experience, strong understanding, and practical experience with Kafka for building event-driven architectures, as well as traditional messaging systems like IBM MQ.
Solid experience with Kubernetes for deploying and managing containerized applications.
Experience with WebLogic Server for deploying and managing enterprise Java applications.
Expert knowledge of Domain-Driven Design (DDD) principles and their application in real-world projects.
Experience designing RESTful APIs and other integration patterns.
Exceptional analytical and problem-solving skills with the ability to troubleshoot complex issues across distributed systems.
Excellent verbal and written communication skills, with the ability to articulate complex technical concepts clearly and concisely.
Proven ability to lead and influence technical teams and stakeholders.
🎁 Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
We are looking for a visionary and hands-on Solution Architect to design and guide the implementation of robust, scalable, and secure software solutions. This role requires a deep understanding of both modern and legacy architectures, with a strong emphasis on integrating disparate systems and leveraging cloud-native technologies. The ideal candidate will bridge the gap between business requirements and technical execution, ensuring our solutions are aligned with strategic goals and best practices.
🚀 Your main responsibilities:
Lead the design and development of end-to-end architectural solutions, ensuring alignment with enterprise architecture standards, business requirements, and technology strategy.
Provide technical leadership and guidance to development teams throughout the project lifecycle, from conception to deployment.
Evaluate and recommend appropriate technologies, tools, and platforms to solve complex business problems, considering both cost and long-term viability.
Design and oversee the integration of diverse systems, including legacy platforms (WebLogic, IBM MQ) and modern cloud services.
Champion Domain-Driven Design principles to ensure solutions are modular, maintainable, and reflect core business domains.
Drive the adoption and optimal utilization of Microsoft Azure services, including Application Gateway and Redis, ensuring high availability, scalability, and security.
Design and implement event streaming solutions using Kafka, fostering asynchronous communication and real-time data processing.
Leverage Kubernetes for container orchestration, ensuring efficient deployment, scaling, and management of microservices.
Define performance and scalability requirements and ensure architectural designs meet these non-functional criteria.
Create and maintain comprehensive architectural documentation, including design specifications, diagrams, and technical standards.
Mentor and guide junior architects and developers, fostering a culture of technical excellence and continuous improvement.
Effectively communicate complex technical concepts to both technical and non-technical stakeholders.
🎯 What you'll need to succeed in this role:
At least 5+ years of proven commercial experience with Java development and strong proficiency in Oracle database technologies, including performance tuning and schema design.
Extensive experience in designing and implementing solutions across both modern, cloud-native architectures and legacy systems.
Hands-on experience with Microsoft Azure services, including but not limited to Azure Compute, Networking, Storage, Azure Application Gateway, and Azure Cache for Redis.
Event streaming and messaging experience, strong understanding, and practical experience with Kafka for building event-driven architectures, as well as traditional messaging systems like IBM MQ.
Solid experience with Kubernetes for deploying and managing containerized applications.
Experience with WebLogic Server for deploying and managing enterprise Java applications.
Expert knowledge of Domain-Driven Design (DDD) principles and their application in real-world projects.
Experience designing RESTful APIs and other integration patterns.
Exceptional analytical and problem-solving skills with the ability to troubleshoot complex issues across distributed systems.
Excellent verbal and written communication skills, with the ability to articulate complex technical concepts clearly and concisely.
Proven ability to lead and influence technical teams and stakeholders.
🎁 Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
We are looking for a visionary and hands-on Solution Architect to design and guide the implementation of robust, scalable, and secure software solutions. This role requires a deep understanding of both modern and legacy architectures, with a strong emphasis on integrating disparate systems and leveraging cloud-native technologies. The ideal candidate will bridge the gap between business requirements and technical execution, ensuring our solutions are aligned with strategic goals and best practices.
🚀 Your main responsibilities:
Lead the design and development of end-to-end architectural solutions, ensuring alignment with enterprise architecture standards, business requirements, and technology strategy.
Provide technical leadership and guidance to development teams throughout the project lifecycle, from conception to deployment.
Evaluate and recommend appropriate technologies, tools, and platforms to solve complex business problems, considering both cost and long-term viability.
Design and oversee the integration of diverse systems, including legacy platforms (WebLogic, IBM MQ) and modern cloud services.
Champion Domain-Driven Design principles to ensure solutions are modular, maintainable, and reflect core business domains.
Drive the adoption and optimal utilization of Microsoft Azure services, including Application Gateway and Redis, ensuring high availability, scalability, and security.
Design and implement event streaming solutions using Kafka, fostering asynchronous communication and real-time data processing.
Leverage Kubernetes for container orchestration, ensuring efficient deployment, scaling, and management of microservices.
Define performance and scalability requirements and ensure architectural designs meet these non-functional criteria.
Create and maintain comprehensive architectural documentation, including design specifications, diagrams, and technical standards.
Mentor and guide junior architects and developers, fostering a culture of technical excellence and continuous improvement.
Effectively communicate complex technical concepts to both technical and non-technical stakeholders.
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
","kind":"legal","translations":{"en":{"body":"Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
"}},"open_question_options":[]}],"careers_apply_url":"https://addepto.recruitee.com/o/solution-architect/c/new","dynamic_fields":[],"id":2335317,"locations":[{"id":98260,"name":"Warsaw","state":"Mazowieckie","country":"Poland","city":"Warszawa","translations":{"en":{"name":"Warsaw","city":"Warszawa","postal_code":"00-025","street":"Krucza 50","note":null}},"country_code":"PL","state_code":"14","postal_code":"00-025","street":"Krucza 50","note":null}],"employment_type_code":"fulltime_permanent","guid":"akg5t","location_question_visible":false,"title":"Senior/Lead Software Engineer / Solution Architect","status":"published","updated_at":"2026-03-26 21:18:26 UTC","options_cover_letter":"optional"},{"careers_url":"https://addepto.recruitee.com/o/junior-data-engineer-databricks-1","salary":{"max":null,"min":null,"period":"month","currency":"PLN"},"position":57,"highlight":null,"sharing_image":null,"city":"Warszawa","on_site":false,"country_code":"PL","hybrid":false,"mailbox_email":"job.sk8ky@addepto.recruitee.com","sharing_description":"Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for","requirements":"🎯 What you'll need to succeed in this role:
At least 1 year of proven commercial experience developing, or maintaining Big Data systems.
Hands-on experience with Big Data technologies, including Databricks, Apache Spark, Airflow, and DBT.
Strong programming skills in Python: writing a clean code, OOP design.
Experience in designing and implementing data governance and data management processes.
Experience implementing and deploying solutions in cloud environments (with a preference for Azure).
Practical knowledge of DevOps practices, including designing and maintaining CI/CD pipelines for data and ML workflows, and Terraform for Infrastructure as Code.
Knowledge of how to build and deploy Power BI reports and dashboards for data visualization.
Excellent understanding of dimensional data and data modeling techniques.
Excellent communication skills and consulting experience with direct interaction with clients.
Ability to work independently and take ownership of project deliverables.
Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Physics, or a related field.
🎁 Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
As a Junior Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:
Design and development of a universal data platform for global aerospace companies. This Azure and Databricks powered initiative combines diverse enterprise and public data sources. The data platform is at the early stages of the development, covering design of architecture and processes as well as giving freedom for technology selection.
Data Platform Transformation for energy management association body. This project addressed critical data management challenges, boosting user adoption, performance, and data integrity. The team is implementing a comprehensive data catalog, leveraging Databricks and Apache Spark/PySpark, for simplified data access and governance. Secure integration solutions and enhanced data quality monitoring, utilizing Delta Live Table tests, established trust in the platform. The intermediate result is a user-friendly, secure, and data-driven platform, serving as a basis for further development of ML components.
Design of the data transformation and following data ops pipelines for global car manufacturer. This project aims to build a data processing system for both real-time streaming and batch data. We’ll handle data for business uses like process monitoring, analysis, and reporting, while also exploring LLMs for chatbots and data analysis. Key tasks include data cleaning, normalization, and optimizing the data model for performance and accuracy.
🚀 Your main responsibilities:
Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and/or Dagster.
Contribute to the development of CI/CD and MLOps processes.
Develop applications to aggregate, process, and analyze data from diverse sources.
Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building.
Develop and organize data transformations using Databricks/DBT and Apache Airflow.
Translate business requirements into technical solutions and ensure optimal performance and quality.
🎯 What you'll need to succeed in this role:
At least 1 year of proven commercial experience developing, or maintaining Big Data systems.
Hands-on experience with Big Data technologies, including Databricks, Apache Spark, Airflow, and DBT.
Strong programming skills in Python: writing a clean code, OOP design.
Experience in designing and implementing data governance and data management processes.
Experience implementing and deploying solutions in cloud environments (with a preference for Azure).
Practical knowledge of DevOps practices, including designing and maintaining CI/CD pipelines for data and ML workflows, and Terraform for Infrastructure as Code.
Knowledge of how to build and deploy Power BI reports and dashboards for data visualization.
Excellent understanding of dimensional data and data modeling techniques.
Excellent communication skills and consulting experience with direct interaction with clients.
Ability to work independently and take ownership of project deliverables.
Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Physics, or a related field.
🎁 Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
As a Junior Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:
Design and development of a universal data platform for global aerospace companies. This Azure and Databricks powered initiative combines diverse enterprise and public data sources. The data platform is at the early stages of the development, covering design of architecture and processes as well as giving freedom for technology selection.
Data Platform Transformation for energy management association body. This project addressed critical data management challenges, boosting user adoption, performance, and data integrity. The team is implementing a comprehensive data catalog, leveraging Databricks and Apache Spark/PySpark, for simplified data access and governance. Secure integration solutions and enhanced data quality monitoring, utilizing Delta Live Table tests, established trust in the platform. The intermediate result is a user-friendly, secure, and data-driven platform, serving as a basis for further development of ML components.
Design of the data transformation and following data ops pipelines for global car manufacturer. This project aims to build a data processing system for both real-time streaming and batch data. We’ll handle data for business uses like process monitoring, analysis, and reporting, while also exploring LLMs for chatbots and data analysis. Key tasks include data cleaning, normalization, and optimizing the data model for performance and accuracy.
🚀 Your main responsibilities:
Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and/or Dagster.
Contribute to the development of CI/CD and MLOps processes.
Develop applications to aggregate, process, and analyze data from diverse sources.
Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building.
Develop and organize data transformations using Databricks/DBT and Apache Airflow.
Translate business requirements into technical solutions and ensure optimal performance and quality.
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
","kind":"legal","translations":{"en":{"body":"Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
"}},"open_question_options":[]}],"careers_apply_url":"https://addepto.recruitee.com/o/junior-data-engineer-databricks-1/c/new","dynamic_fields":[],"id":2236868,"locations":[{"id":98260,"name":"Warsaw","state":"Mazowieckie","country":"Poland","city":"Warszawa","translations":{"en":{"name":"Warsaw","city":"Warszawa","postal_code":"00-025","street":"Krucza 50","note":null}},"country_code":"PL","state_code":"14","postal_code":"00-025","street":"Krucza 50","note":null}],"employment_type_code":"fulltime_permanent","guid":"sk8ky","location_question_visible":false,"title":"Junior Data Engineer (Databricks)","status":"published","updated_at":"2026-03-27 14:25:07 UTC","options_cover_letter":"optional"},{"careers_url":"https://addepto.recruitee.com/o/data-engineer-gcp-looker","salary":{"max":null,"min":null,"period":"month","currency":"PLN"},"position":53,"highlight":null,"sharing_image":null,"city":"Warszawa","on_site":false,"country_code":"PL","hybrid":false,"mailbox_email":"job.ppl86@addepto.recruitee.com","sharing_description":"Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for","requirements":"🎯 What you'll need to succeed in this role:
At least 3 years of commercial experience in Data Engineering, AI analytics, or cloud-based AI/ML solutions
Strong programming skills in Python, including clean code practices and OOP design
Hands-on experience with GCP services, especially BigQuery
Experience working with Machine Learning models and large-scale datasets
Experience in collecting and analyzing LLM token usage data, including forecasting and anomaly detection use cases
Familiarity with cloud-based analytics and scalable data processing solutions
Understanding of LLMs and AI/ML systems in production environments
Excellent communication skills and experience working directly with clients and business stakeholders
Ability to work independently and take ownership of project deliverables
Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field
Good English communication skills (C1 level)
🎁 Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
As a Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:
LLM usage analytics and optimization platform for a global consulting company. This project focuses on collecting and analyzing LLM token usage data, including forecasting, anomaly detection, and monitoring AI consumption patterns to improve operational efficiency and optimize costs on GCP.
Design and development of a universal data platform for global aerospace companies. This Azure and Databricks powered initiative combines diverse enterprise and public data sources. The data platform is at the early stages of the development, covering design of architecture and processes, as well as giving freedom for technology selection.
Design of the data transformation and following data ops pipelines for global car manufacturer. This project aims to build a data processing system for both real-time streaming and batch data. We’ll handle data for business uses like process monitoring, analysis, and reporting, while also exploring LLMs for chatbots and data analysis. Key tasks include data cleaning, normalization, and optimizing the data model for performance and accuracy.
🚀 Your main responsibilities:
Design, develop, and maintain scalable data pipelines and analytics solutions in GCP
Develop solutions for collecting, processing, and analyzing LLM token usage data
Build forecasting and anomaly detection mechanisms to monitor AI consumption patterns
Optimize and maintain BigQuery datasets and cloud-based processing environments
Collaborate with cross-functional teams to translate business needs into scalable AI/data solutions
Ensure high-quality data processing through testing, monitoring, and automation best practices
Contribute to data architecture, analytics frameworks, and continuous improvement initiatives
🎯 What you'll need to succeed in this role:
At least 3 years of commercial experience in Data Engineering, AI analytics, or cloud-based AI/ML solutions
Strong programming skills in Python, including clean code practices and OOP design
Hands-on experience with GCP services, especially BigQuery
Experience working with Machine Learning models and large-scale datasets
Experience in collecting and analyzing LLM token usage data, including forecasting and anomaly detection use cases
Familiarity with cloud-based analytics and scalable data processing solutions
Understanding of LLMs and AI/ML systems in production environments
Excellent communication skills and experience working directly with clients and business stakeholders
Ability to work independently and take ownership of project deliverables
Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field
Good English communication skills (C1 level)
🎁 Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
As a Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:
LLM usage analytics and optimization platform for a global consulting company. This project focuses on collecting and analyzing LLM token usage data, including forecasting, anomaly detection, and monitoring AI consumption patterns to improve operational efficiency and optimize costs on GCP.
Design and development of a universal data platform for global aerospace companies. This Azure and Databricks powered initiative combines diverse enterprise and public data sources. The data platform is at the early stages of the development, covering design of architecture and processes, as well as giving freedom for technology selection.
Design of the data transformation and following data ops pipelines for global car manufacturer. This project aims to build a data processing system for both real-time streaming and batch data. We’ll handle data for business uses like process monitoring, analysis, and reporting, while also exploring LLMs for chatbots and data analysis. Key tasks include data cleaning, normalization, and optimizing the data model for performance and accuracy.
🚀 Your main responsibilities:
Design, develop, and maintain scalable data pipelines and analytics solutions in GCP
Develop solutions for collecting, processing, and analyzing LLM token usage data
Build forecasting and anomaly detection mechanisms to monitor AI consumption patterns
Optimize and maintain BigQuery datasets and cloud-based processing environments
Collaborate with cross-functional teams to translate business needs into scalable AI/data solutions
Ensure high-quality data processing through testing, monitoring, and automation best practices
Contribute to data architecture, analytics frameworks, and continuous improvement initiatives
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
","kind":"legal","translations":{"en":{"body":"Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
"}},"open_question_options":[]}],"careers_apply_url":"https://addepto.recruitee.com/o/data-engineer-gcp-looker/c/new","dynamic_fields":[],"id":2154935,"locations":[{"id":98260,"name":"Warsaw","state":"Mazowieckie","country":"Poland","city":"Warszawa","translations":{"en":{"name":"Warsaw","city":"Warszawa","postal_code":"00-025","street":"Krucza 50","note":null}},"country_code":"PL","state_code":"14","postal_code":"00-025","street":"Krucza 50","note":null}],"employment_type_code":"fulltime_permanent","guid":"ppl86","location_question_visible":false,"title":"Data Engineer (GCP)","status":"published","updated_at":"2026-05-20 11:25:49 UTC","options_cover_letter":"optional"},{"careers_url":"https://addepto.recruitee.com/o/data-engineer-spark","salary":{"max":null,"min":null,"period":"month","currency":"PLN"},"position":45,"highlight":null,"sharing_image":null,"city":"Warszawa","on_site":false,"country_code":"PL","hybrid":false,"mailbox_email":"job.ak6c5@addepto.recruitee.com","sharing_description":"Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for","requirements":"🎯 What you'll need to succeed in this role:
At least 4 years of commercial experience implementing, developing, or maintaining Big Data systems, data governance and data management processes.
Strong programming skills in Python (or Java/Scala): writing a clean code, OOP design.
Hands-on with Big Data technologies like Spark, Cloudera, Kafka, Data Platform, Airflow, NiFi, Docker, and Iceberg.
Excellent understanding of dimensional data and data modeling techniques.
Experience implementing and deploying solutions in cloud environments.
Consulting experience with excellent communication and client management skills, including prior experience directly interacting with clients as a consultant.
Ability to work independently and take ownership of project deliverables.
Fluent English (at least C1 level).
Bachelor’s degree in technical or mathematical studies.
➕ Nice to have:
Experience with an MLOps framework such as Kubeflow or MLFlow.
Familiarity with Databricks and/or dbt.
🎁 Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
As a Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:
Development and maintenance of a large platform for processing automotive data. A significant amount of data is processed in both streaming and batch modes. The technology stack includes Spark, Cloudera, Airflow, Iceberg, Python, and AWS.
Design and development of a universal data platform for global aerospace companies. This Azure and Databricks powered initiative combines diverse enterprise and public data sources. The data platform is at the early stages of the development, covering design of architecture and processes as well as giving freedom for technology selection.
Centralized reporting platform for a growing US telecommunications company. This project involves implementing BigQuery and Looker as the central platform for data reporting. It focuses on centralizing data, integrating various CRMs, and building executive reporting solutions to support decision-making and business growth.
🚀 Your main responsibilities:
Develop and maintain a high-performance data processing platform for automotive data, ensuring scalability and reliability.
Design and implement data pipelines that process large volumes of data in both streaming and batch modes.
Optimize data workflows to ensure efficient data ingestion, processing, and storage using technologies such as Spark, Cloudera, and Airflow.
Work with data lake technologies (e.g., Iceberg) to manage structured and unstructured data efficiently.
Collaborate with cross-functional teams to understand data requirements and ensure seamless integration of data sources.
Monitor and troubleshoot the platform, ensuring high availability, performance, and accuracy of data processing.
Leverage cloud services (AWS) for infrastructure management and scaling of processing workloads.
Write and maintain high-quality Python (or Java/Scala) code for data processing tasks and automation.
🎯 What you'll need to succeed in this role:
At least 4 years of commercial experience implementing, developing, or maintaining Big Data systems, data governance and data management processes.
Strong programming skills in Python (or Java/Scala): writing a clean code, OOP design.
Hands-on with Big Data technologies like Spark, Cloudera, Kafka, Data Platform, Airflow, NiFi, Docker, and Iceberg.
Excellent understanding of dimensional data and data modeling techniques.
Experience implementing and deploying solutions in cloud environments.
Consulting experience with excellent communication and client management skills, including prior experience directly interacting with clients as a consultant.
Ability to work independently and take ownership of project deliverables.
Fluent English (at least C1 level).
Bachelor’s degree in technical or mathematical studies.
➕ Nice to have:
Experience with an MLOps framework such as Kubeflow or MLFlow.
Familiarity with Databricks and/or dbt.
🎁 Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
As a Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:
Development and maintenance of a large platform for processing automotive data. A significant amount of data is processed in both streaming and batch modes. The technology stack includes Spark, Cloudera, Airflow, Iceberg, Python, and AWS.
Design and development of a universal data platform for global aerospace companies. This Azure and Databricks powered initiative combines diverse enterprise and public data sources. The data platform is at the early stages of the development, covering design of architecture and processes as well as giving freedom for technology selection.
Centralized reporting platform for a growing US telecommunications company. This project involves implementing BigQuery and Looker as the central platform for data reporting. It focuses on centralizing data, integrating various CRMs, and building executive reporting solutions to support decision-making and business growth.
🚀 Your main responsibilities:
Develop and maintain a high-performance data processing platform for automotive data, ensuring scalability and reliability.
Design and implement data pipelines that process large volumes of data in both streaming and batch modes.
Optimize data workflows to ensure efficient data ingestion, processing, and storage using technologies such as Spark, Cloudera, and Airflow.
Work with data lake technologies (e.g., Iceberg) to manage structured and unstructured data efficiently.
Collaborate with cross-functional teams to understand data requirements and ensure seamless integration of data sources.
Monitor and troubleshoot the platform, ensuring high availability, performance, and accuracy of data processing.
Leverage cloud services (AWS) for infrastructure management and scaling of processing workloads.
Write and maintain high-quality Python (or Java/Scala) code for data processing tasks and automation.
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
","kind":"legal","translations":{"en":{"body":"Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
"}},"open_question_options":[]}],"careers_apply_url":"https://addepto.recruitee.com/o/data-engineer-spark/c/new","dynamic_fields":[],"id":2081456,"locations":[{"id":98260,"name":"Warsaw","state":"Mazowieckie","country":"Poland","city":"Warszawa","translations":{"en":{"name":"Warsaw","city":"Warszawa","postal_code":"00-025","street":"Krucza 50","note":null}},"country_code":"PL","state_code":"14","postal_code":"00-025","street":"Krucza 50","note":null}],"employment_type_code":"fulltime_permanent","guid":"ak6c5","location_question_visible":false,"title":"Data Engineer (Spark)","status":"published","updated_at":"2026-03-31 08:17:31 UTC","options_cover_letter":"optional"},{"careers_url":"https://addepto.recruitee.com/o/data-scientist-ai-engineer","salary":{"max":null,"min":null,"period":"month","currency":"PLN"},"position":41,"highlight":null,"sharing_image":null,"city":"Warszawa","on_site":false,"country_code":"PL","hybrid":false,"mailbox_email":"job.5obgv@addepto.recruitee.com","sharing_description":"Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for","requirements":"🎯 What you’ll need to succeed in this role:
6+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM, Computer Vision, GenAI).
Experience in leading end-to-end Machine Learning projects and managing cross-functional teams.
Proficiency in developing ML algorithms from scratch to production deployment.
Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch/Tensorflow).
Proven expertise in deploying solutions in cloud environments (preferably AWS and/or Azure).
Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG).
High proficiency in English (C1 level).
Excellent communication skills and consulting experience with direct interaction with clients.
Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks).
Good knowledge of CI/CD principles (GitHub and GitHub Actions).
Familiarity with MLOps practices, Kubernetes and Docker.
Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Physics, or a related field.
Experience with Big Data technologies like Spark, Hadoop, and Kafka is a plus.
🎁 Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
As a Lead Data Scientist / AI Engineer / Tech Lead, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:
AI optimization engine for airport operation management. This project involves creating an AI-driven optimization engine to streamline airport operations, using real-time data from sources like radar, air traffic, and passenger information.
AI recommendation engine for the leading innovation company. This project involves creation of AWS-powered solutions to provide domain-specific recommendations by employing sophisticated LLMs.
🚀 Your main responsibilities:
Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives.
Lead the design of AI solution architectures that meet complex business goals and drive innovation.
Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements.
Lead and mentor cross-functional teams, encouraging collaboration and helping everyone grow their skills.
Understand clients' needs and translate business problems into data science problems.
Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security.
Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications..
Present findings and recommendations clearly and concisely to stakeholders.
Prioritize, and control tasks within an Agile/Scrum framework, ensuring timely delivery.
🎯 What you’ll need to succeed in this role:
6+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM, Computer Vision, GenAI).
Experience in leading end-to-end Machine Learning projects and managing cross-functional teams.
Proficiency in developing ML algorithms from scratch to production deployment.
Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch/Tensorflow).
Proven expertise in deploying solutions in cloud environments (preferably AWS and/or Azure).
Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG).
High proficiency in English (C1 level).
Excellent communication skills and consulting experience with direct interaction with clients.
Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks).
Good knowledge of CI/CD principles (GitHub and GitHub Actions).
Familiarity with MLOps practices, Kubernetes and Docker.
Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Physics, or a related field.
Experience with Big Data technologies like Spark, Hadoop, and Kafka is a plus.
🎁 Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
As a Lead Data Scientist / AI Engineer / Tech Lead, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:
AI optimization engine for airport operation management. This project involves creating an AI-driven optimization engine to streamline airport operations, using real-time data from sources like radar, air traffic, and passenger information.
AI recommendation engine for the leading innovation company. This project involves creation of AWS-powered solutions to provide domain-specific recommendations by employing sophisticated LLMs.
🚀 Your main responsibilities:
Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives.
Lead the design of AI solution architectures that meet complex business goals and drive innovation.
Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements.
Lead and mentor cross-functional teams, encouraging collaboration and helping everyone grow their skills.
Understand clients' needs and translate business problems into data science problems.
Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security.
Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications..
Present findings and recommendations clearly and concisely to stakeholders.
Prioritize, and control tasks within an Agile/Scrum framework, ensuring timely delivery.
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
","kind":"legal","translations":{"en":{"body":"Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
"}},"open_question_options":[]}],"careers_apply_url":"https://addepto.recruitee.com/o/data-scientist-ai-engineer/c/new","dynamic_fields":[],"id":2054257,"locations":[{"id":98260,"name":"Warsaw","state":"Mazowieckie","country":"Poland","city":"Warszawa","translations":{"en":{"name":"Warsaw","city":"Warszawa","postal_code":"00-025","street":"Krucza 50","note":null}},"country_code":"PL","state_code":"14","postal_code":"00-025","street":"Krucza 50","note":null}],"employment_type_code":"fulltime_permanent","guid":"5obgv","location_question_visible":false,"title":"Data Scientist / AI Engineer","status":"published","updated_at":"2026-05-04 12:07:12 UTC","options_cover_letter":"optional"},{"careers_url":"https://addepto.recruitee.com/o/data-engineer-databricks-2","salary":{"max":null,"min":null,"period":"month","currency":"PLN"},"position":31,"highlight":null,"sharing_image":null,"city":"Warszawa","on_site":false,"country_code":"PL","hybrid":false,"mailbox_email":"job.uavdh@addepto.recruitee.com","sharing_description":"Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for","requirements":"🎯 What you'll need to succeed in this role:
At least 3+ years of commercial experience implementing, developing, or maintaining Big Data systems.
Strong programming skills in Python: writing a clean code, OOP design.
Experience in designing and implementing data governance and data management processes.
Familiarity with Big Data technologies like Airflow or Dagster, Databricks, Spark and DBT.
Experience implementing and deploying solutions in cloud environments (with a preference for Azure).
Knowledge of how to build and deploy Power BI reports and dashboards for data visualization.
Excellent understanding of dimensional data and data modeling techniques.
Excellent communication skills and consulting experience with direct interaction with clients.
Ability to work independently and take ownership of project deliverables.
Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Physics, or a related field.
🎁 Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
As a Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:
Design and development of a universal data platform for global aerospace companies. This Azure and Databricks powered initiative combines diverse enterprise and public data sources. The data platform is at the early stages of the development, covering design of architecture and processes as well as giving freedom for technology selection.
Data Platform Transformation for energy management association body. This project addressed critical data management challenges, boosting user adoption, performance, and data integrity. The team is implementing a comprehensive data catalog, leveraging Databricks and Apache Spark/PySpark, for simplified data access and governance. Secure integration solutions and enhanced data quality monitoring, utilizing Delta Live Table tests, established trust in the platform. The intermediate result is a user-friendly, secure, and data-driven platform, serving as a basis for further development of ML components.
Design of the data transformation and following data ops pipelines for global car manufacturer. This project aims to build a data processing system for both real-time streaming and batch data. We’ll handle data for business uses like process monitoring, analysis, and reporting, while also exploring LLMs for chatbots and data analysis. Key tasks include data cleaning, normalization, and optimizing the data model for performance and accuracy.
🚀 Your main responsibilities:
Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and/or Dagster.
Contribute to the development of CI/CD and MLOps processes.
Develop applications to aggregate, process, and analyze data from diverse sources.
Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building.
Develop and organize data transformations using Databricks/DBT and Apache Airflow.
Translate business requirements into technical solutions and ensure optimal performance and quality.
🎯 What you'll need to succeed in this role:
At least 3+ years of commercial experience implementing, developing, or maintaining Big Data systems.
Strong programming skills in Python: writing a clean code, OOP design.
Experience in designing and implementing data governance and data management processes.
Familiarity with Big Data technologies like Airflow or Dagster, Databricks, Spark and DBT.
Experience implementing and deploying solutions in cloud environments (with a preference for Azure).
Knowledge of how to build and deploy Power BI reports and dashboards for data visualization.
Excellent understanding of dimensional data and data modeling techniques.
Excellent communication skills and consulting experience with direct interaction with clients.
Ability to work independently and take ownership of project deliverables.
Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Physics, or a related field.
🎁 Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
As a Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:
Design and development of a universal data platform for global aerospace companies. This Azure and Databricks powered initiative combines diverse enterprise and public data sources. The data platform is at the early stages of the development, covering design of architecture and processes as well as giving freedom for technology selection.
Data Platform Transformation for energy management association body. This project addressed critical data management challenges, boosting user adoption, performance, and data integrity. The team is implementing a comprehensive data catalog, leveraging Databricks and Apache Spark/PySpark, for simplified data access and governance. Secure integration solutions and enhanced data quality monitoring, utilizing Delta Live Table tests, established trust in the platform. The intermediate result is a user-friendly, secure, and data-driven platform, serving as a basis for further development of ML components.
Design of the data transformation and following data ops pipelines for global car manufacturer. This project aims to build a data processing system for both real-time streaming and batch data. We’ll handle data for business uses like process monitoring, analysis, and reporting, while also exploring LLMs for chatbots and data analysis. Key tasks include data cleaning, normalization, and optimizing the data model for performance and accuracy.
🚀 Your main responsibilities:
Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and/or Dagster.
Contribute to the development of CI/CD and MLOps processes.
Develop applications to aggregate, process, and analyze data from diverse sources.
Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building.
Develop and organize data transformations using Databricks/DBT and Apache Airflow.
Translate business requirements into technical solutions and ensure optimal performance and quality.
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji
Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
","kind":"legal","translations":{"en":{"body":"Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [show more]
"}},"open_question_options":[]}],"careers_apply_url":"https://addepto.recruitee.com/o/data-engineer-databricks-2/c/new","dynamic_fields":[],"id":2016065,"locations":[{"id":98260,"name":"Warsaw","state":"Mazowieckie","country":"Poland","city":"Warszawa","translations":{"en":{"name":"Warsaw","city":"Warszawa","postal_code":"00-025","street":"Krucza 50","note":null}},"country_code":"PL","state_code":"14","postal_code":"00-025","street":"Krucza 50","note":null}],"employment_type_code":"fulltime_permanent","guid":"uavdh","location_question_visible":false,"title":"Data Engineer (Databricks)","status":"published","updated_at":"2026-04-22 09:20:31 UTC","options_cover_letter":"off"}]}