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Microsoft Fabric Data Engineer (ID:4074)

Tech Jobs Netherlands - STAFIDE
Amsterdam, Netherlands
Full-time

About this role

Job title: Microsoft Fabric Data Engineer (ID:4074)

As a Microsoft Fabric Data Engineer, you will:

  • 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.

What You Bring to the Table:

  • 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.

You Should Possess the Ability To:

  • 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.

Let’s Connect

Want to discuss this opportunity in more detail? Feel free to reach out.

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