The Role
Develop and maintain scalable Microsoft Fabric data solutions, including ETL/ELT pipelines, data integration, transformation, orchestration, modeling, and optimization. Use SQL, Python, and PySpark with OneLake, Lakehouse, Data Warehouse, Delta Lake, and Medallion Architecture. Troubleshoot pipeline issues, implement security and governance practices, and collaborate with stakeholders and technical teams to deliver reliable, performant cloud data platforms.
Summary Generated by Built In
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
LinkedIn: https://www.linkedin.com/in/hema-murali-315999329/
Skills Required
- 4-6 years of professional experience in data engineering, cloud data engineering, or related roles
- Hands-on experience with Microsoft Fabric
- Experience with OneLake, Fabric Lakehouse, Fabric Data Warehouse, and Fabric Data Factory
- Strong SQL skills
- Experience with Python or PySpark for data engineering and transformation
- Understanding of ETL/ELT, data ingestion, transformation, data modeling, and orchestration
- Experience with Delta Lake and Medallion Architecture
- Understanding of Azure cloud and Azure data services
- Experience implementing data security and governance requirements
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The Company
What We Do
STAFIDE is a Netherlands-based niche technology talent consulting company operating across Europe. It helps organizations identify, recruit, and deploy technology professionals in areas including cybersecurity, cloud engineering, software development, data analytics, ERP, infrastructure, and digital transformation. Its services include recruitment, workforce engagement, secondment, onboarding support, workforce deployment, and workforce analytics that support technology hiring and expansion.
