Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Your Role
As a Data Engineer (LATAM) at Capgemini, you will support platform delivery, system integrations, and scalable execution across enterprise environments.
You will play a key role in building and maintaining data and application integrations, ensuring reliable and high-performance systems while contributing to platform evolution and continuous improvement.
This role requires strong execution capabilities, collaboration with cross-functional teams, and experience working with APIs, integrations, and cloud platforms.
Responsibilities & Scope
- Deliver core data engineering and platform functionality aligned with business needs
- Build and integrate APIs and enterprise services across systems
- Support platform migrations, enhancements, and stabilization efforts
- Collaborate with cross-functional teams including engineering, business, and operations
- Ensure system reliability, scalability, and performance
- Troubleshoot and resolve technical and integration issues
- Contribute to continuous improvement of platform and data solutions
- Support execution across enterprise environments with strong ownership
Your Profile
Data & Platform Engineering Experience – Proven experience in data engineering or platform engineering roles, supporting scalable systems and integrations.
Integration & API Expertise – Strong hands-on experience building and integrating APIs and enterprise systems.
Problem-Solving & Execution – Ability to work independently, troubleshoot issues, and drive execution in dynamic environments.
Cloud & Modern Technologies – Familiarity with cloud platforms (AWS, Azure, or GCP) and modern tools/frameworks.
Collaboration & Communication – Strong ability to work across teams and ensure alignment on delivery and priorities.
Continuous Improvement Mindset – Focus on improving reliability, scalability, and efficiency of platform solutions.
Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.
The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high quality data solutions to support the organizations data driven objectives.
What you’ll love
Exposure to top global companies working with Capgemini (145 of the Fortune 500 companies)
Tech solutions and projects driving societal impact and paving the way for a sustainable future
Well-being hub and different wellbeing initiatives
Need to know
Career Development in Spanish & English: Training, certifications, and mentorship programs available in both languages to support bilingual growth.
Community Engagement: Participate in local volunteering initiatives, tech meetups, and cultural events that connect you with the Capgemini community.
About Capgemini
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.
At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.
