Microsoft Fabric Data Engineer

Zohorecruit; Amsterdam; Presencial; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private health insurance

Flexible work arrangements

Professional development budget

Tech socials

Descripción de la vacante

Zohorecruit is seeking a Microsoft Fabric Data Engineer in Amsterdam to design and implement scalable data solutions using Fabric, OneLake, Lakehouse, Data Factory. You will build ETL/ELT pipelines, transform data with Python/PySpark, and apply Delta Lake and Medallion Architecture for scalable, secure platforms.

Ideal candidate has 4-6 years of data engineering experience, strong Azure data services knowledge, and a focus on performance, security, and governance across data solutions.

Formación

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

Responsabilidades

• Design and develop scalable Microsoft Fabric data pipelines.
• Build reliable ETL/ELT workflows for large-scale processing.
• Develop optimized SQL and Python/PySpark transformations.
• Apply Medallion Architecture and Delta Lake concepts.
• Troubleshoot data pipeline failures and resolve issues.
• Collaborate with stakeholders to meet data requirements.
• Follow security and governance best practices.

Conocimientos

Microsoft Fabric

Python

PySpark

SQL

Data Modeling

ETL/ELT

Azure Cloud

Data Governance

Herramientas

OneLake

Fabric Lakehouse

Data Factory

Delta Lake

Descripción del empleo

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.
• 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.