Data Quality Tester

We're looking for a Data Quality Tester to play a critical role in ensuring the accuracy, reliability, and integrity of data across a growing data platform. This position will help accelerate delivery timelines while maintaining high-quality standards across reporting and analytics.

This is an excellent opportunity for someone with strong SQL, data testing, ETL validation, reporting quality assurance, CI/CD testing, and data governance experience who enjoys building quality processes from the ground up.

• Own and enhance data quality frameworks across data ingestion, transformation, and reporting layers.

• Define, implement, and maintain automated data quality rules, determining appropriate failure behaviours based on business impact.

• Develop and maintain automated regression testing for business-critical reports to identify defects before deployment.

• Build contract tests that validate schemas and pipeline outputs, preventing upstream changes from breaking downstream reporting.

• Create and manage representative test datasets covering complex scenarios, including null values, CDC sequences, and multi-entity data.

• Implement automated data assertions and quality gates within CI/CD pipelines to prevent inaccurate or incomplete data reaching production.

• Define and maintain report validation baselines, including row counts, key metrics, and variance thresholds.

• Investigate and reproduce data defects reported by users, converting incidents into reusable automated regression tests.

• Collaborate closely with developers, analysts, and business stakeholders to translate business requirements into measurable and automated data quality controls.

• Review transformation logic, SQL changes, and pull requests to ensure all critical business logic is adequately tested before release.