Microsoft Fabric Engineer

Devapo; Netherlands; Sur place; EUR 90 000 - 120 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Team player

Fast learner

Client-facing communication

English (B2+)

Outils

Microsoft Fabric

Azure DevOps

GitHub Actions

Power BI

PySpark

SQL / T-SQL

Description du poste

We are looking for a Microsoft Fabric Engineer who understands that a data platform is only as good as the pipelines, governance, and architecture behind it — someone who has actually built and maintained Fabric-based solutions in production, not just completed a Microsoft Learn tutorial. You will work on international projects for clients in banking, insurance, manufacturing, and telco (Netherlands, UK, Germany, US), designing the data infrastructure that turns raw data into reliable business intelligence at scale.

About Devapo

At Devapo, we focus on continuous self-development and acquiring new knowledge. If you are a fast learner, want to participate in international projects, are a team player, and can work independently - join us!

We provide our clients with more than just code - we want to equip them with tools that allow their businesses to flourish. Our clients’ success is our success, which is why we ensure that everyone who creates Devapo has a long-term goal in mind. At Devapo, you’ll have the opportunity to discuss your challenges and solutions with our team of experts, including experienced architects who are always ready to share their knowledge and guide you through complex technical decisions.

Key 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 layers (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

Requirements

• Min. 4 years of data engineering experience
• Hands-on experience with Microsoft Fabric: Lakehouse, Warehouse, OneLake, Data Pipelines, Notebooks
• Advanced SQL / T-SQL
• Python with PySpark
• Solid understanding of medallion architecture (bronze / silver / gold)
• Experience with Azure Data Factory / Fabric Pipelines for data ingestion and orchestration
• Power BI fundamentals — semantic models, DAX, Direct Lake mode
• Git + CI/CD with Azure DevOps or GitHub Actions applied to data workflows
• English B2+ — client-facing role, calls and written communication included

Nice to Have

• Migrating legacy ETL workloads from Azure Synapse, Azure Data Factory, Power BI Premium, or on-prem SQL into Fabric and OneLake
• DP-700 (Fabric Data Engineer Associate) and/or DP-600 (Fabric Analytics Engineer Associate) certification
• Databricks (Spark, Unity Catalog, Lakeflow) or Snowflake — cross-platform data engineering
• Real-Time Intelligence experience: Eventhouse, Eventstream, KQL, Data Activator