About the Role
Would you like not only to develop modern data platforms, but also to shape their architecture from beginning to end? Empion combines recruiting with company culture and matches candidates with employers where not only the professional requirements but also the working environment are a good fit. For inovex, we are looking for a Senior Data Engineer (m/f/d) specializing in Microsoft Fabric to take technical responsibility for demanding customer projects and develop modern data platforms for data-driven services and AI applications.
Tasks
•Professional and technical responsibility for demanding customer projects
•Design and implementation of modern, scalable data platforms
•Development of high-performance ETL/ELT pipelines with Python and T-SQL
•Migration of existing on-premises architectures and data warehouses to Microsoft Fabric
•Building and structuring lakehouses and data services
•Integration of heterogeneous data sources
•Deployment of machine learning models
•Development of robust and maintainable data architectures
•Technical consulting for customers on feasibility and implementation
•Collaboration in agile, cross-functional teams
•Knowledge sharing and support for less experienced colleagues
Requirements
•5–7 years of professional experience in data engineering / machine learning
•At least 2 years of experience in the Microsoft Fabric / Azure environment
•Very good knowledge of Microsoft Fabric and Azure
•Experience with lakehouses, dataflows, data pipelines, OneLake, and Delta Lake
•Confident use of Python and T-SQL
•Experience with production data platforms and distributed data services
•Experience with ETL/ELT pipelines and cloud architectures
•Customer-focused communication and consulting on an equal footing
•Pragmatic, independent, and solution-oriented approach to work
•Very good German skills (C1) and good English skills (B2)
•Completed degree, ideally in a STEM field
Conditions
•Up to €85,000 gross per year, depending on experience and qualifications
•Mobile work and flexible working models
•Part-time work possible
•Workation and time off
•Free choice of hardware and operating system
•Training budget, mentoring, and internal coaching
•EGYM Wellpass and other sports benefits
•Subsidized Deutschlandticket, JobRad, and car leasing
•Childcare allowance and additional leave for a sick child
•Variety of technologies and industries
•Agile teams and an open, appreciative feedback culture
•Opportunity to flexibly develop your professional focus and work with different technologies and projects; through internal communities, mentoring, and knowledge sharing, you can continuously expand your expertise while supporting others on the team
