Senior Microsoft Fabric Data Platform Engineer

Devapo; Netherlands; On-site; EUR 90,000 - 120,000; Full time

Job summary

Devapo is seeking a Microsoft Fabric Engineer to design and implement end-to-end data platforms across Fabric Lakehouse, Warehouse, OneLake, and Power BI for international clients. You will build PySpark pipelines and semantic models for fast analytics, while orchestrating data ingestion with Fabric Pipelines.

The role emphasizes collaboration with business and technical teams and mentoring junior engineers, with opportunities to shape architecture and support pre-sales efforts.

Qualifications

• Min. 4 years of data engineering experience.
• Hands-on with Microsoft Fabric components (Lakehouse, Warehouse, OneLake).
• Advanced SQL / T-SQL and Python with PySpark.
• Experience with Azure Data Factory / Fabric Pipelines for data ingestion and orchestration.
• English B2+ for client-facing work.

Responsibilities

• Designing and implementing end-to-end data platforms in Microsoft Fabric — Lakehouse, Warehouse, OneLake, and Power BI.
• Building and maintaining PySpark/Delta pipelines across medallion architecture (bronze/silver/gold).
• Developing semantic models for Power BI using Direct Lake mode for high-performance analytics.
• Implementing Git-based CI/CD with Azure DevOps and Fabric deployment pipelines.
• Optimizing Fabric capacity.
• Collaborating with client business and technical teams to translate requirements into scalable data solutions.
• (Senior) Mentoring junior engineers, leading architecture workshops, and supporting pre-sales engagements.

Skills

Team player

Fast learner

Client-facing communication

English (B2+)

Tools

Microsoft Fabric

Azure DevOps

GitHub Actions

Power BI

PySpark

SQL / T-SQL

Job description

Devapo is seeking a Microsoft Fabric Engineer to design and implement end-to-end data platforms across Fabric Lakehouse, Warehouse, OneLake, and Power BI for international clients. You will build PySpark pipelines and semantic models for fast analytics, while orchestrating data ingestion with Fabric Pipelines.

The role emphasizes collaboration with business and technical teams and mentoring junior engineers, with opportunities to shape architecture and support pre-sales efforts.