Data Engineer (Microsoft Fabric)

Expected, Python, Spark SQL, Microsoft Fabric, Data Factory

Optional, Salesforce, Azure Data Factory, Azure Synapse, Azure Databricks

About the project, 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, you will be responsible for maintaining and evolving the Microsoft Fabric platform, ensuring a stable, scalable, and cost-efficient environment. You will manage data pipelines, enhance architecture, and deliver high-quality data models following the medallion (bronze, silver, gold) approach.

Your responsibilities, Own and continuously improve the existing Microsoft Fabric setup and architecture, Design, build, and maintain bronze, silver, and gold data pipelines, Develop and optimise gold layer data models for analytics and reporting, Implement and maintain data transformations using Python (PySpark) or Spark SQL, Ensure platform scalability as new data sources and use cases grow, Monitor and optimise performance, cost efficiency, and resource usage, Extend the platform with new data solutions when required

Strong understanding of Microsoft Fabric architecture and trade-offs, Experience with medallion architecture (bronze, silver, gold layers), Proven data modelling expertise, especially in the gold layer, Hands-on experience with Python (PySpark) for data processing, Experience with Data Factory and data pipeline orchestration, Experience with ETL / ELT systems., Background in improving and optimising existing data platforms, Experience designing scalable data solutions, Very good command of English, both written and spoken.

Optional, Experience in API integrations (Salesforce is a plus), Azure Data Stack (ADF, Synapse, Databricks)

What we offer, Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify., Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings., Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy., Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.

Benefits, sharing the costs of sports activities, private medical care, life insurance, no dress code, parking space for employees, extra social benefits, redeployment package, employee referral program, charity initiatives, access to courses e.g. Excel, VBA, RPA, Customer Care, unlimited access to Udemy Business, free chat/call with a therapist

Recruitment stages, Interview with the recruiter, Competency Tests/Language Verification, Video call with a manager, Final Decision

Capgemini Polska , 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.

This is how we work,