Data-Science / Engineering

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Design and develop scalable data architectures and pipelines, including graph databases, to support AI and analytics initiatives.
Implement and operationalize machine learning and Generative AI solutions, including RAG systems, ensuring alignment with business goals.
Ensure data quality, governance, and performance optimization, while keeping systems aligned with current trends and technologies.
Maintain comprehensive documentation for data processes, AI models, and system architectures.
Academic background in Computer Science, Data Science, Engineering, or related fields; domain expertise in Automotive, Life Sciences, Manufacturing, or Public Sector is a plus.
Proficiency in Python, SQL/NoSQL databases, big data technologies (e.g., Experience with cloud platforms (AWS, Azure, GCP) and cloud data warehousing (e.g., Familiarity with data science and Generative AI frameworks (e.g., Strong communication skills in German and English, with a collaborative and self-driven mindset.
Our range of training programs are designed to help you discover a world of opportunities - be it through specialist training, mentoring or innovative projects.
Work-life balance: Work flexibly - depending on the project assignment and agreement within the team, you have the opportunity to work flexibly in terms of location and flexitime at various locations.
Diversity ensures inspiration and innovation in our company - work in a diverse and open team that relies on mutual support and exchange.
Capgemini Engineering supports you with a wide range of learning opportunities so that you can develop both professionally and personally.
Please fill in our online application form completely and attach your CV, work and school certificates as well as any other relevant documents.