Data Transformation Engineer: MS Fabric & Cloud Analytics

Inetum Polska; Warszawa; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Hybrid work model

Cafeteria-style benefits

Referral bonuses

Revenue sharing opportunities

Mentoring and career development

Job summary

Inetum Polska is launching a strategic data transformation initiative to replace legacy SAS/Exadata with a modern MS Fabric-powered Data & Analytics platform. We seek a skilled Data Transformation Engineer to migrate data integration flows, warehouses, reports, dashboards, data products, and analytics while ensuring business continuity.

The role involves data quality, metadata management, and catalog/glossary work, building a scalable cloud-based platform for faster data-driven decisions.

Qualifications

• Experience with MS Fabric and data migration projects.
• Strong SQL and data transformation skills with data cleansing.
• Ability to model data and collaborate across teams.

Responsibilities

• Participate in the implementation and configuration of the MS Fabric Data & Analytics platform.
• Develop and maintain data pipelines, transformations, and data models for migration.
• Migrate reports, dashboards, data marts, and analytics workloads to the target platform.
• Collaborate with business users and technical teams to gather requirements and troubleshoot issues.
• Support data quality controls, metadata management, catalog, and glossary processes.
• Perform testing, documentation, and operational support for platform reliability.
• Contribute to performance optimization and automation of data solutions.
• Participate in knowledge transfer and post-go-live support.

Skills

SQL

Data transformation

Data modelling

Tools

MS Fabric

Fabric Dataflows Gen2

Data Factory pipelines

Notebooks (PySpark)

Job description

Inetum Polska is launching a strategic data transformation initiative to replace legacy SAS/Exadata with a modern MS Fabric-powered Data & Analytics platform. We seek a skilled Data Transformation Engineer to migrate data integration flows, warehouses, reports, dashboards, data products, and analytics while ensuring business continuity.

The role involves data quality, metadata management, and catalog/glossary work, building a scalable cloud-based platform for faster data-driven decisions.