Data Engineer (MS Fabric & Databricks)

About the role

We are looking for a Data Engineer to design and implement end‑to‑end data pipelines using Microsoft Fabric and Azure Databricks. You will work closely with analytics teams to transform raw data into trusted, high‑quality datasets ready for reporting.

Key responsibilities

• Build Bronze, Silver and Gold layer pipelines on Microsoft Fabric and Azure Databricks.
• Develop PySpark notebooks for data ingestion, transformation and quality checks.
• Integrate source systems via REST APIs, SAP, Shopify, HubSpot and other connectors.
• Implement Delta Lake patterns, partitioning strategies and incremental loads.
• Collaborate with Power BI consultants to deliver high‑quality Gold layer data.

Required profile

• Minimum 3 years of data engineering experience with PySpark and modern data platforms.
• Strong SQL and Python skills, comfortable working in notebooks and using version control.
• Experience with at least one of the following: Microsoft Fabric, Azure Databricks, Synapse or Snowflake.
• Familiarity with medallion architecture and Delta Lake.

Required skills

• PySpark
• Python
• SQL
• Microsoft Fabric
• Azure Databricks
• REST APIs
• SAP
• Shopify
• HubSpot
• Delta Lake
• Power BI
• Version control (e.g., Git)

What we offer

• Opportunity to work on cutting‑edge data platforms.
• Collaboration with a skilled analytics team.
• Professional growth in a fast‑moving environment.