Data QA Engineer

About Our Client

The team culture is fantastic with a customer driven approach and a focus on goals and values. They are looking for someone in this role who can hit the ground running and add value to their highly motivated team.

• Data Validation and Testing: Design and implement comprehensive test plans and cases to ensure data quality, integrity, and completeness in databases and ETL pipelines. Familiarity with testing methodologies like BDD and TDD is essential.
• Test Automation: Develop automated data testing frameworks using tools such as SQL and Python to streamline QA processes and improve efficiency.
• Data Integrity: Perform rigorous validation to detect data integrity issues, schema mismatches, and inconsistencies across the system.
• Cross-Functional Collaboration: Work closely with Data Engineers, Data Scientists, and Business Analysts to understand data requirements and ensure thorough test coverage.
• Performance Testing: Test the scalability and performance of data pipelines, ensuring they meet required throughput, latency, and stability metrics.
• Defect Tracking and Reporting: Document and track data quality issues through resolution using tools like Jira.
• Compliance and Security: Ensure data testing complies with security standards, regulations, and data governance policies.
• Continuous Improvement: Stay updated on the latest tools, technologies, and practices to drive ongoing improvements in data testing processes.

• Strong experience in data QA, including SQL and ETL processes
• Proficiency in automated testing using Python
• Excellent problem-solving skills and attention to detail
• Ability to analyze complex data flows and ensure data integrity
• Effective communication skills for working with technical and non-technical teams
• Familiarity with cloud platforms, data governance, and CI/CD tools preferred

• Attractive daily rate
• Hybrid flexible working arrangements
• On-site cafe
• Fitness club facilities