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. Where you can make a difference. Where no two days are the same.
Your Role
- 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.
- Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
- 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.
Your Profile
- 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., Spark, Hadoop), and graph databases (e.g., Neo4j, AWS Neptune).
- Experience with cloud platforms (AWS, Azure, GCP) and cloud data warehousing (e.g., Snowflake, Redshift, BigQuery).
- Familiarity with data science and Generative AI frameworks (e.g., scikit-learn, TensorFlow, LangChain) and MLOps practices including CI/CD, Docker, and Kubernetes.
- Strong communication skills in German and English, with a collaborative and self-driven mindset.
What you’ll love about working here?
- An environment in which you can constantly develop yourself. 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.
Not a 100% match? No need to worry! Capgemini Engineering supports you with a wide range of learning opportunities so that you can develop both professionally and personally.
WE LOOK FORWARD TO MEETING YOU
Do you have any questions about the job profile and/or requirements?
Please get in touch with your contact person in Recruiting.
Michel Haverkamp, Recruiter Capgemini Engineering Deutschland S.A.S. & Co. KG
michel.haverkamp@capgemini.com
Please fill in our online application form completely and attach your CV, work and school certificates as well as any other relevant documents.
We wish you every success for your application.