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We are seeking a proactive Test Engineer - Data to join our Data Finance team. In this role, you will partner with engineers and product managers to enhance the quality, reliability, and trustworthiness of financial data flows and data products. You will not just test for the team, but with the team, coaching engineers to own their quality outcomes.
Job Responsibility:
Set a strong testing strategy in line with organizational quality standards and coach teams on data testing practices
Design and implement effective validation for data pipelines, APIs, and services to ensure data is correct, complete, and timely
Drive observability using monitoring, alerts, and dashboards to validate behavior and data quality in production
Operationalize requirements from regulated environments (e.g., SOX, GDPR/PII, DMA) into daily test strategies and documentation
Design test approaches covering unit, component, contract, and integration levels, ensuring validation is integrated into CI/CD pipelines
Requirements:
Proven experience testing data-intensive backend systems, ETL/ELT processes, and financial data feeds
Strong proficiency in relational databases, ideally Microsoft SQL Server, including writing and optimizing complex SQL for data investigation
Experience with modern engineering tools such as Git, CI/CD, Docker, Kubernetes, and AWS (or similar cloud platforms)
Experience working in or around regulated environments (SOX, GDPR, DMA) or a strong willingness to learn
Exceptional ability to explain technical testing and data quality concepts to both technical and non-technical stakeholders
Ability to use structured root-cause analysis (e.g., "5 whys") to debug complex data issues