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Data Engineer (Microsoft Fabric Focus)

Data Engineer (Microsoft Fabric Focus)

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

We are looking for a Data Engineer with Microsoft Fabric focus to strengthen Capgemini Portugal’s Data & AI consulting team. You will design and implement modern data solutions on Fabric, ensuring scalable pipelines and analytics-ready datasets, while supporting delivery and commercial initiatives.

In this role you will be responsible for:

  • Develop and maintain scalable data pipelines using Microsoft Fabric.
  • Work with Fabric components such as OneLake, Lakehouse/Warehouse and Dataflows Gen2 to support analytics and reporting use cases.
  • Collaborate with stakeholders to capture requirements and deliver robust solutions with strong data quality and governance.  
  • Implement best practices for ETL/ELT, data modeling, performance optimization and troubleshooting
  • Promote automation and operationalization practices (deployment discipline, monitoring/quality checks) in a consulting context.
  • Contribute to pre-sales: solutioning support, technical estimates, and client workshops when needed.

YOUR PROFILE

  • Minimum of 2+ years experience in data engineering and cloud data solutions.
  • Hands-on knowledge of Microsoft Fabric components and strong skills in SQL and Python; Power BI exposure is a plus.
  • Experience with data engineering fundamentals: pipelines, modeling, governance basics and quality controls.
  • Strong analytical skills, structured problem solving and ownership mindset.
  • Fluency in Portuguese and English.

WHAT YOU'LL LOVE ABOUT CAPGEMINI

  • At Capgemini Portugal we have a flexible and dynamic work environment. Flexibility enables a better work-life balance and gives more flexibility to the employee to manage the working hours, as well if he works at the office or remotely, according with the company’s hybrid work policy; 
  •  We have local programs that promote people growth, reskill and new skills development (Career Acceleration Programs); 
  • We promote an empowering environment with autonomy and peers' relationships among the top scores of our Monthly Employees' feedback; Next to this, we also offer an attractive compensation package and benefits such as Health and Life insurance, as well as Referral program with bonuses for talent recommendations and other fringe benefits according with our partnerships in force.  
  • Capgemini Portugal is an equal opportunity employer. We promote equality and dignity in all aspects of recruitment and employment, as well as employment offers and promotions made according with competence and ability or performance, respectively.

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 fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.  

Get the future you want | www.capgemini.com  

Apply now!  

#LI-Hybrid 

Ref. code:  401887
Posted on:  Jan 30, 2026
Experience Level:  Experienced Professionals
Contract Type:  Permanent
Location: 

Lisboa, PT

Brand:  Capgemini
Professional Community:  Data & AI

Apply now »