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# Microsoft Fabric Data Engineer

- **Company:** STAFIDE
- **Location:** Amsterdam, Netherlands
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Big Data, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Security, Data Systems, Data Transformation Services, Data Warehousing, Database Queries, Python (Programming Language), SQL Databases, Data Ingestion, Azure Data Factory, Microsoft Fabric, Data Lakes, Pyspark, Data Management, Data Pipelines
- **Published:** October 9, 2026
- **Apply:** https://www.adzuna.nl/details/5919137271

## About the Role

* 4-6 years of overall professional experience in data engineering, cloud data engineering, or related roles.
 * Strong hands-on experience with Microsoft Fabric.
 * Experience with OneLake, Fabric Lakehouse, Data Warehouse, and Fabric Data Factory.
 * Strong SQL skills.
 * Experience with Python or PySpark for data engineering and transformation.
 * Strong understanding of ETL/ELT, data ingestion, transformation, modelling, and orchestration.
 * Experience with Delta Lake and Medallion Architecture.
 * Understanding of Azure cloud and Azure data services.
 * Experience implementing data security and governance requirements.

## Description

* Develop scalable data solutions using Microsoft Fabric, OneLake, Fabric Lakehouse, Data Warehouse, and Data Factory.
 * Design and maintain ETL/ELT data integration pipelines for data ingestion, transformation, and orchestration.
 * Develop data transformation solutions using SQL, Python, and/or PySpark.
 * Implement Delta Lake and Medallion Architecture concepts for scalable and efficient data platforms.
 * Perform data modelling and optimize data pipelines for performance and reliability.
 * Implement appropriate security and data governance practices across data solutions., * Design and develop efficient Microsoft Fabric data pipelines.
 * Build reliable ETL/ELT workflows for large-scale data processing.
 * Develop optimized SQL and Python/PySpark transformations.
 * Apply Medallion Architecture and Delta Lake principles effectively.
 * Troubleshoot data pipeline failures and resolve technical issues.
 * Optimize data solutions for performance, scalability, and reliability.
 * Work with stakeholders and technical teams to understand data requirements and deliver effective solutions.
 * Follow security, governance, and data management best practices.

What We Bring to the Table:

 * Opportunity to work on Microsoft Fabric and modern cloud data engineering solutions.
 * Exposure to OneLake, Lakehouse, Data Warehouse, Data Factory, Delta Lake, and Medallion Architecture.
 * Opportunities to work on scalable data integration, transformation, modelling, and orchestration.
 * A collaborative environment focused on data modernization, performance, security, and governance.