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STAFIDE

Microsoft Fabric Data Engineer (ID:4074)

STAFIDE Amsterdam, North Holland, Netherlands

Staffing and Recruiting · 11-50 employees

Yesterday
data-engineer Senior (5-10 yrs) Full-time Netherlands
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About the role

You will develop scalable data solutions using Microsoft Fabric, including designing and maintaining ETL/ELT pipelines for data ingestion and transformation. Additionally, you will implement data governance practices and optimize data models to ensure performance and reliability across the platform.

What they look for

Microsoft Fabric Data Engineering OneLake Fabric Lakehouse Data Warehouse Fabric Data Factory SQL Python PySpark ETL ELT Delta Lake Medallion Architecture Data Modeling Data Governance Azure

Requirements

Candidates must have 4–6 years of professional experience in data engineering with strong hands-on expertise in Microsoft Fabric and related services. Proficiency in SQL, Python or PySpark, and a deep understanding of Delta Lake and Medallion Architecture are required.

Full description

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.

Recruiter: Hema Murali

Phone: +31 20 369 0609 ; Extn :148

Email: hema.m@stafide.nl

LinkedIn: https://www.linkedin.com/in/hema-murali-315999329/

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