Data QA Engineer

About the role

We're working with a leading technology solutions provider that specialises in delivering intelligent automation and digital transformation services to help clients innovate and grow.

Responsibilities

• Validate data pipelines and ensure data integrity across ETL processes
• Collaborate with Data Engineering to build automated testing frameworks
• Design and execute test cases for data pipelines and transformations
• Build automated QA scripts in Python to validate data accuracy at scale
• Partner with engineering to troubleshoot data discrepancies
• Document QA processes and maintain test coverage

Requirements

• Strong hands-on SQL skills (complex queries, joins, data validation)
• Solid experience with ETL/ELT pipelines
• Proficiency in Python for test automation and scripting
• Experience with data quality frameworks or custom validation scripts
• Exposure to cloud data platforms (AWS/Azure/Google Cloud Platform) is a plus
• Familiarity with CI/CD for data pipelines is a plus

Benefits

• Opportunity to work on critical data integrity projects
• Collaborative environment with a focus on cutting-edge technologies
• Chance to build and implement automated testing solutions