At Capgemini Engineering, the world leader in engineering services, we bring together a integral 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.

Job Description

Position Overview

We are looking for a Data Engineer with AI expertise to design, build, and optimize scalable data solutions that support analytics, artificial intelligence, and next-generation agentic applications. This role will focus on creating reliable data pipelines, preparing enterprise data for AI use cases, and enabling intelligent automation through AI agents and RAG frameworks.

Key Responsibilities
- Design, develop, and maintain scalable data pipelines that support analytics, machine learning, and AI workloads.
- Curate, transform,



and prepare enterprise data for AI applications, AI agents, and Retrieval-Augmented Generation (RAG) solutions.
- 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.
- Understanding of AI/ML workflows and data

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