Data Engineer with MS fabric

Capgemini; Aguascalientes; Híbrido; MXN 550.000 - 850.000; Jornada completa

Descripción de la vacante

Capgemini Mexico is seeking a Data Engineer to design and develop end-to-end data pipelines and AI-enabled data products using Microsoft Fabric, Azure DevOps, and advanced prompt-engineering.

You will build pipelines with Data Factory, Lakehouse, Fabric pipelines, Notebooks and Real-Time Analytics, develop semantic models and Power BI visuals, and implement robust CI/CD for data solutions.

Formación

• 5+ years of data engineering or ETL experience.
• Experience with Microsoft Fabric, Data Factory, Lakehouse, and real-time analytics.
• Strong SQL and data modeling skills; English fluency.

Responsabilidades

• Design and develop end-to-end data pipelines.
• Develop semantic models and Power BI visuals.
• Implement CI/CD and DevOps practices for data solutions.
• Write and optimize complex SQL queries for downstream teams.

Conocimientos

Microsoft Fabric

Power BI

Azure DevOps

SQL

ETL pipelines

Prompt engineering

Herramientas

Data Factory

Lakehouse

Pipelines

Notebooks

Real-Time Analytics

Descripción del empleo

# Data Engineer with MS fabricAguascalientesApply for this job* Permanent* Experienced Professionals* Data & AI* ID 559204-en\\_USChoosing 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*** 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*** 5YOE working as a data engineer, ETL engineer or similar roles* 1+2 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.