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Capgemini

Senior Data Intelligence Engineer

Posted a day ago
5-10 years experience
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AI Summary

Drive the company's AI transformation by building intelligent data solutions that facilitate decision-making and process automation. Lead technical initiatives, mentor engineers, and define reusable AI frameworks across the organization's data ecosystem.

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

  • Play a key role in driving the company's AI transformation, building intelligent data solutions that directly impact how business teams access insights, automate processes, and make decisions.
  • Work at the intersection of Data Engineering, Analytics, and AI, leveraging modern technologies such as enterprise AI platforms, semantic search, retrieval-augmented generation (RAG), vector search, APIs, and cloud-native services.
  • Influence the future of enterprise reporting and analytics, helping to modernize reporting ecosystems through self-service analytics, AI-assisted insights, and trusted data products used across multiple business functions.
  • Collaborate with highly specialized teams, including Data Platform Engineering, Analytics Engineering, Data Product teams, and the AI Center of Excellence, giving you broad exposure to enterprise-scale data and AI initiatives.
  • Take on a technical leadership role, mentoring engineers, defining reusable AI frameworks and best practices, and helping shape how AI capabilities are operationalized across the organization's data ecosystem.

Your Profile

  • 6+ years of experience in Data Engineering, Analytics Engineering, AI Enablement, or related fields, with a proven track record of building and supporting enterprise-scale data solutions.
  • Hands-on experience integrating AI capabilities into analytics or operational workflows, including practical implementation of AI-powered solutions rather than purely theoretical or research-focused work
  • Strong programming and data engineering skills, particularly in Python, SQL, APIs, cloud-native services, orchestration tools, and BigQuery scripting (BQ Scripts).
  • Solid understanding of modern AI integration concepts, including semantic search, vector search, retrieval-augmented generation (RAG), intelligent automation, and AI-enabled analytics.
  • Ability to collaborate and lead across multiple teams, working effectively with Data Platform, Data Product, Analytics Engineering, and AI stakeholders while mentoring other engineers and driving technical initiatives.
  • Fluent English level

What you'll love

  • Work on meaningful projects that use technology to solve real-world challenges.
  • Be part of a company that values sustainability, inclusion, and digital equity.
  • Contribute to building a better future for people, planet, and society. 

Need to know about the role

This role can be working from any state of Mexico

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.

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. 

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