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.

Position Overview:
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines that support analytics, machine learning, and AI workloads.
- Ensure data quality, lineage, security, governance, and metadata management across data products and platforms.
- Build and support agentic solutions that automate data discovery, enrichment, transformation, and delivery processes.
- Partner with data, analytics, and AI teams to ensure data assets are accessible, reliable, and optimized for business and AI use cases.
- Monitor and improve the performance, scalability,



and reliability of data platforms and workflows.
- Implement best practices for data engineering, governance, and AI-ready architectures.

Required Skills:
- Strong experience in Data Engineering and data pipeline development.
- Advanced SQL and data modeling skills.
- Experience with cloud-based data platforms and modern data architectures.
- Experience with RAG frameworks, vector databases, or AI-powered data solutions.
- Knowledge of data governance, metadata management, lineage, and data quality practices.
- Experience developing automation solutions and integrating AI agents into data workflows.
LI-LB21

Job Description - Grade Specific:
Capgemini is a general business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group

📌 Data Engineer (Buenos Aires)
🏢 Capgemini
📍 Buenos Aires