Data Transformation Engineer - MS Fabric on Azure (Hybrid)

Inetum; Warszawa; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Fully funded training and conferences

Team mentoring and career development

Wellbeing and social initiatives

Job summary

Inetum Polska is launching a strategic data transformation initiative to migrate from SAS/Exadata to a modern Microsoft Fabric-based Data & Analytics platform. We seek a Data Transformation Engineer to migrate data integration flows, warehouses, reports, dashboards, data products, and analytics solutions while ensuring business continuity.

The role includes data quality, metadata management and governance support across the project.

Qualifications

• Experience with data transformation projects and cloud data platforms.
• Strong knowledge of PySpark, SQL, and data modeling.
• Certification in MS Fabric or related data transformation tech.

Responsibilities

• Participate in implementing the Microsoft Fabric Data & Analytics platform.
• Develop and maintain data pipelines, transformations, and data models.
• Migrate reports, dashboards, and data products to the target platform.
• Collaborate with business users and technical teams to gather requirements.
• Support data quality, metadata, catalog, and governance processes.
• Perform testing, documentation, and operational support.
• Contribute to performance optimization and automation.

Skills

Data transformation

PySpark

SQL

Data modeling

Problem solving

Education

MS Fabric certification

Tools

Azure

MS Fabric

Data Factory pipelines

Delta Lake

OneLake

Fabric Dataflows Gen2

Notebooks (PySpark)

dbt

Job description

Inetum Polska is launching a strategic data transformation initiative to migrate from SAS/Exadata to a modern Microsoft Fabric-based Data & Analytics platform. We seek a Data Transformation Engineer to migrate data integration flows, warehouses, reports, dashboards, data products, and analytics solutions while ensuring business continuity.

The role includes data quality, metadata management and governance support across the project.