Data Quality Engineer

Data Quality Engineer

Location: Abu Dhabi

Role Overview

We are seeking a Data Tester with strong experience in data validation, data quality, and ETL/ELT testing within a modern cloud data platform. The role will focus on validating data pipelines, transformations, and dimensional models built on Microsoft Fabric (Lakehouse/Warehouse), ensuring data accuracy, reliability, and readiness for analytics and reporting.

Key Responsibilities

• Design and execute end-to-end data testing for Fabric-based data pipelines
• Validate data ingestion into Fabric Lakehouse and Warehouse layers
• Perform source-to-target reconciliation (row counts, aggregates, checksums)
• Validate data transformations implemented via Fabric Data Factory Gen2, Dataflows, Spark Notebooks (PySpark)
• Validate dimensional data models, business rules, and derived metrics
• Ensure consistency of KPIs across analytical and reporting layers
• Define and execute data quality checks (completeness, accuracy, consistency, timeliness)
• Validate data lineage, metadata, and governance artifacts in
  
  Microsoft Purview and MDM systems
• Support ongoing data quality monitoring and issue detection
• Develop and maintain automated data validation using SQL and Python or PySpark
• Support performance, regression, UAT, and production data validation
• Collaborate with Data Engineers, BI teams, and Analysts to track and resolve defects
• Maintain test documentation, data quality metrics, and release readiness reports

Requirements

• 6+ years of overall QA / testing experience, with 4+ years focused ondata testing, including migration, ingestion (batch and API), ETL/ELT, and data quality testing
• Strong understanding of data warehouse concepts and analytics data flows

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• Advanced SQL for data validation and reconciliation
• Experience testing data on Microsoft Fabric (Lakehouse / Warehouse)
• Hands-on testing of: Fabric Data Factory Gen2 pipelines, Dataflows, Spark-based transformations (PySpark understanding)
• Strong knowledge of dimensional modeling and SCD Type 1 & 2
• Familiarity with Microsoft Purview for lineage, metadata, and governance validation
• Experience with Python or PySpark for automated data testing
• Experience testing Power BI semantic models, measures, and dashboards
• Familiarity with CI/CD pipelines for data platforms