Data Engineer (AI & Agentic Solutions)

Capgemini Engineering; Buenos Aires; Presencial; ARS 90.595.000 - 135.892.000; Jornada completa

Descripción de la vacante

Capgemini Engineering in Argentina seeks a Data Engineer with AI expertise to design, build, and optimize scalable data solutions for analytics, AI workloads, and AI agents. You will curate and transform enterprise data for AI use cases and ensure data quality across platforms.

The role requires strong SQL, data modeling, cloud data platform experience, and familiarity with RAG frameworks and vector databases. You will collaborate with AI and analytics teams to deliver reliable data products.

Formación

• 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 requirements for AI applications.
• 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.

Responsabilidades

• 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.

Conocimientos

Data Engineering

SQL

Cloud platforms

AI/ML workflows

RAG frameworks

Vector databases

Data governance

Automation

Descripción del empleo

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 mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide 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 arethe 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 requirements for AI applications.
• 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

Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.

Capgemini is a global 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 of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.