at Capgemini
ConsultanciesPosted 12 days ago
No clicks
**Azure Data Engineer with MS Fabric** Develop end-to-end data pipelines and AI-driven data products using Microsoft Fabric, Azure DevOps, and advanced prompt engineering techniques. Design and maintain data pipelines with Fabric components (Data Factory, Lakehouse, pipelines, notebooks, real-time analytics), create semantic models, Power BI visualizations, and Copilot-enabled experiences. Implement CI/CD and DevOps practices for data solutions. Optimize complex SQL queries and collaborate with stakeholders. Requires 3-5 years of Microsoft Fabric experience, Power BI proficiency, AI and prompt engineering skills, Azure DevOps familiarity, advanced SQL skills, and English fluency.
- Compensation
- Not specified
- City
- Not specified
- Country
- Mexico
Currency: Not specified
Full Job Description
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Your Role
- This role designs and develops end-to-end data pipelines and AI-enabled data products using Microsoft Fabric, Azure DevOps, and advanced prompt-engineering techniques.
- Build end-to-end data pipelines using Microsoft Fabric components (Data Factory, Lakehouse, Fabric pipelines, Notebooks and Real-Time Analytics)
- Develop semantic models, Power BI visualizations, and Copilot-enabled experiences.
- Implement CI/CD and DevOps best practices using Azure DevOps.
- Write and optimize complex queries for downstream domain teams.
Your Profile
- 3-5 years of experience with Microsoft Fabric, building and supporting data pipelines using Data Factory, Lakehouse, Pipelines, Notebooks, and Real-Time Analytics.
- Strong experience in Power BI and semantic modeling, with the ability to create scalable data models, reports, and business-facing dashboards.
- Practical experience developing AI-enabled analytics solutions, including prompt engineering, Copilot adoption, and 'chat with data' capabilities.
- Hands-on Azure DevOps and CI/CD experience, including Git, branch management, deployment pipelines, and release automation for data solutions.
- Advanced SQL and data engineering skills, with the ability to optimize queries, troubleshoot data issues, and collaborate effectively with business and technical stakeholders.
- 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
This role can be working from any state of Mexico
About Capgemini
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.
