Microsoft Fabric Engineer

Devapo; Germany (OH); On-site; USD 100,000 - 130,000; Full time

Job summary

Devapo is seeking a Microsoft Fabric Engineer to design and implement robust data platforms for international clients in various sectors, including banking and manufacturing.

The ideal candidate will have at least 4 years of hands-on experience with Microsoft Fabric components, SQL, and Python. This role involves mentoring junior engineers and optimizing data solutions, making it crucial for candidates to have excellent communication skills in English.

Qualifications

• Minimum 4 years of data engineering experience.
• Hands-on experience with Microsoft Fabric components.
• Solid understanding of medallion architecture.

Responsibilities

• Design and implement end-to-end data platforms in Microsoft Fabric.
• Build and maintain PySpark/Delta pipelines.
• Collaborate with clients to create scalable data solutions.

Skills

Microsoft Fabric

Data Engineering

SQL / T-SQL

Python

Git + CI/CD

Power BI

English B2+

Tools

Azure Data Factory

Azure DevOps

PySpark

Job description

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.

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