We are looking for an experienced Data Engineer to join our team and work on data integration, modeling, and reporting solutions using the Microsoft Fabric ecosystem. You will design and develop ETL/ELT processes, build and optimize pipelines, and support reporting projects in Power BI. This role offers the opportunity to work in a collaborative environment with modern cloud technologies and best practices in data engineering.
Sounds like your kind of challenge?
responsibilities :
Design and develop ETL/ELT processes using Microsoft Fabric
Work with Lakehouse (Delta/Parquet, OneLake) and Synapse/Data Warehouse
Build and optimize pipelines in Data Factory (orchestration, scheduling)
Support Power BI reporting projects (dataset optimization, basic DAX is a plus)
Apply data modeling best practices and ensure high-quality data solutions
Collaborate with distributed and cross-functional teams in an international environment
Note: Detailed project information will be shared during the recruitment process.
requirements-expected :
3–5+ years of experience as a Data Engineer in enterprise environments
Strong knowledge of the Microsoft Fabric ecosystem: Data Factory, Lakehouse, Synapse, Power BI
Proficiency in SQL and Python (PySpark / Pandas)
Hands-on experience with data modeling and ETL/ELT design
Understanding of cloud platforms (Azure preferred)
Familiarity with DevOps/Git CI/CD for data projects
Strong communication skills and ability to work in international teams
offered :
Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.)
Hybrid work setup – remote days available depending on the client’s arrangements
Collaborative team culture – work alongside experienced professionals eager to share knowledge
Continuous development – access to training platforms and growth opportunities
Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
High quality equipment – laptop and essential software provided
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
