Data Quality Engineer

About the role

The Data Quality Engineer will ensure the accuracy, consistency, and reliability of data across the Microsoft Fabric Data Warehouse and its Azure integrations. You will work closely with data engineers, architects, and business units to deliver trustworthy data for analytics and reporting.

Key responsibilities

• Design, develop and execute data quality and validation tests for Fabric objects, ETL/ELT pipelines and event‑driven processes.
• Validate Azure Logic Apps workflows, Service Bus messages, queues and topics, and perform end‑to‑end testing of data ingestion and delivery.
• Develop automated data quality checks, reconciliation scripts and test frameworks using tools such as dbt and Great Expectations.
• Identify, analyse and report data quality issues, conduct root‑cause analysis and monitor quality KPIs.

Required profile

• Strong experience in data quality testing for large‑scale analytics platforms.
• Hands‑on experience with Microsoft Fabric (Data Warehouse, Lakehouse, Pipelines, Dataflows).
• Proficiency in SQL and scripting languages (Python, PySpark, PowerShell).
• Excellent analytical, problem‑solving and documentation skills.

Required skills

• Microsoft Fabric, SQL, Python, PySpark, PowerShell
• Azure Logic Apps, Azure Service Bus, Azure Data Factory, Synapse Analytics, OneLake
• dbt, Great Expectations, tSQLt, pytest, Postman

What we offer

• Family‑friendly environment with multicultural exposure.
• Opportunities to learn and grow, merit‑based compensation.
• Free coffee around the clock.