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.
- 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.
- A work environment that supports your continuous development. Our range of training and development programs will help you explore a world full of opportunities – whether through specialized training, mentoring, or innovative projects.
- Flexibility that supports your work-life balance: depending on your project and team setup, you can enjoy flexible working hours and locations across our various sites.
- Diversity is what drives inspiration and innovation in our company – join an open-minded and supportive team where collaboration and exchange are part of everyday work.
Apply now
Get the future you want – for your first step toward the future, you’ll only need about three minutes and your current CV. Would you like to share additional documents with us? You can easily upload them to your application with just a few clicks.
If you have any questions, Michel Haverkamp will be happy to assist you.
E-mail address: [email protected]
More Info
Learn more about our application process and get tips for your application. Join Capgemini Engineering now and enjoy our numerous benefits. You can find more information about us on our career page: Careers at Capgemini Engineering.
For further insights, check out LinkedIn – our employees share their experiences at Capgemini Engineering there.
Key Skills
Ranked by relevanceReady to apply?
Join Capgemini Engineering and take your career to the next level!
Application takes less than 5 minutes

