<p>Your Team</p> <p>We are looking for a?Data / AI Engineer?who wants to work at the intersection of?data engineering, generative AI, and agent-based systems.? In this role, you will design and build?enterprise-grade AI solutions?using?AI agents, large language models, and data platforms, helping customers translate AI capabilities into?real business?value.? You do?not?need to be a Google Cloud expert from day one. We are looking for strong?core engineering and data fundamentals?and experience with?Cloud?platforms?(AWS, Azure)?with the ability to?quickly transition to GCP services including Vertex AI.</p> <p>Your Tasks</p> <p>What You Will Do</p> <ul> <li>Design, build, and?operate?cloud-based data pipelines and data platforms?for analytics and downstream use cases </li><li>Ingest, transform, and manage?structured and unstructured enterprise data, ensuring data quality, reliability, and governance </li><li>Prepare and expose data for?AI and generative AI workloads, including retrieval and feature-ready datasets </li><li>Collaborate with AI teams to build data-driven AI solutions using?Vertex AI?and?Gemini Enterprise </li><li>Work with customers to translate?business data requirements into scalable, enterprise-ready architectures </li></ul> <p>Your Profile</p> <ul> <li>Strong experience?in?Data Engineering </li><li>Solid knowledge of?Python </li><li>Experience designing and operating?data pipelines </li><li>Hands-on work with?SQL and analytical data stores. </li><li>Understanding of?data modeling, data quality, and data governance </li><li>AI & LLM Fundamentals </li><li>Understanding of: </li></ul> <p>Prompt engineering</p> <p>Retrieval-Augmented Generation (RAG)</p> <p>Tool / function calling</p> <ul> <li>Agent concepts (reasoning, planning, actions, memory) </li><li>Practical experience with?LLMs and generative AI,?not only experimentation </li><li>Cloud & Platform Experience? - Experience with?at least one major cloud provider?(AWS, Azure, or GCP) </li><li>Familiarity with cloud-native concepts?particularly?in Data Engineering related services </li></ul> <p>What You'll Love About Working Here</p> <ul> <li>Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast 'Let's talk about wellbeing' which you can listen to on Spotify. </li><li>Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. </li><li>Award-Winning Stability & Culture: Become part of an organization celebrated as 'Top Employer Poland 2024' - in the audit our stable and supportive work environment scored 100%! </li><li>Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies. </li></ul> <p>Get To Know Us</p> <p>Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on YouTube.</p> <p>About Capgemini</p> <p>Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.</p>