Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
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.
- 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.
- 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.
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
[email protected]
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.
Key Skills
Ranked by relevanceReady to apply?
Join Capgemini Engineering and take your career to the next level!
Application takes less than 5 minutes

