Regular Data Engineer SB

 We are launching a strategic data transformation initiative to replace our legacy SAS and Exadata-based environment with a modern Microsoft Fabric-powered Data & Analytics platform. We are seeking a skilled Data Transformation Engineer to join our team and play a key role in this transformative project. The successful candidate will be responsible for migrating data integration flows data warehouses reports dashboards data products and advanced analytics and machine learning solutions while ensuring continuity of business operations. Additionally the selected partner will support the transfer and enhancement of data quality processes metadata management and catalog/glossary capabilities. The objective is to establish a scalable cloud-based data platform that accelerates data-driven decision-making and future innovation across the organization.

Main Tasks:

• Participate in the implementation and configuration of the Microsoft Fabric Data & Analytics platform supporting data integration analytics and reporting initiatives.
• Develop and maintain data pipelines transformation processes and data models as part of the migration from SAS and Exadata environments.
• Assist in the migration and validation of reports dashboards data marts data products and analytical workloads to the target platform.
• Collaborate with business users and technical teams to gather requirements troubleshoot issues and ensure successful delivery of data solutions.
• Support the implementation of data quality controls metadata management catalog and glossary processes in accordance with governance standards.
• Perform testing documentation and operational support activities to ensure platform reliability and data accuracy.
• Contribute to performance optimization automation and continuous improvement of data and analytics solutions.
• Participate in knowledge transfer activities and provide ongoing support during migration and post-go-live phases.

Project Technology:

• Azure
• MS Fabric
• Fabric Dataflows Gen2
• Data Factory pipelines
• Notebooks (PySpark)
• Delta Lake
• OneLake
• Fabric Real-Time Intelligence
• Event Hub

Qualifications :

General Project Experience:

• Certification in the data transformation technology - MS Fabric

Fabric & Azure Engineering:

• Fabric Dataflows Gen2 Data Factory pipelines Notebooks (PySpark)
• Delta Lake table creation partitioning and maintenance
• OneLake storage management (hot/cold tier data movement)

Data Ingestion Patterns:

• Batch ingestion (full load incremental CDC)
• Real-time ingestion (Fabric Real-Time Intelligence Event Hub)
• API and webhook ingestion

Transformation Engineering:

• PySpark transformation development (Bronze Silver Gold)
• SQL transformation logic (Fabric Warehouse dbt)
• Data cleansing and standardisation logic

DevOps & Quality:

• Azure DevOps Git workflow (feature branch PR merge)
• Automated unit test development (dbt tests Great Expectations)
• Pipeline monitoring and alerting configuration
• Data lineage tag propagation (Purview auto-lineage)

Dodatkowe informacje :

Hybrid work model: 2 days from the office 3 days of home office.

Office locations: Warszawa Lublin Poznań Katowice Łódz Rzeszów.

Fluent communication skills in English and Polish (minimum B2 level) both written and spoken.

We hereby inform you that Inetum Polska sp. z o.o. has implemented an internal reporting (whistleblowing) procedure. The content of the procedure and the possibility to submit an internal report are available at:

Work :

No

Employment Type :

Full-time