Data Engineer - Agentic AI & Enterprise Platforms

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage, over 420,000 team members in more than 50 countries, delivering end-to-end services and solutions across strategy, technology, design, engineering, and business operations. The Group reported 2025 global revenues of €22.5 billion.

• Strong experience in Data Engineering
• Solid knowledge of Python
• Experience designing and operating data pipelines
• Hands-on work with SQL and analytical data stores
• Understanding of data modeling, data quality, and data governance
• AI & LLM Fundamentals
• Understanding of prompt engineering, Retrieval-Augmented Generation (RAG), and tool/function calling
• Knowledge of agent concepts including reasoning, planning, actions, and memory
• Practical experience with LLMs and generative AI beyond experimentation
• Experience with at least one major cloud provider (AWS, Azure, or GCP)
• Familiarity with cloud-native concepts particularly in Data Engineering related services

What You Will Do:

• Design, build, and operate cloud-based data pipelines and data platforms for analytics and downstream use cases
• Ingest, transform, and manage structured and unstructured enterprise data, ensuring data quality, reliability, and governance
• Prepare and expose data for AI and generative AI workloads, including retrieval and feature-ready datasets
• Collaborate with AI teams to build data-driven AI solutions using Vertex AI and Gemini Enterprise
• Work with customers to translate business data requirements into scalable, enterprise-ready architectures

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. Individuals are evaluated based on qualifications and performance, not personal characteristics.