Job Description

You 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 will love about working with us

• 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.

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.

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 Haverkampwill be happy to assist you.

E-mail address: michel.haverkamp@capgemini.com

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.

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