QA Team Lead; auto) data systems

Lead quality assurance for complex data systems. Own the overall QA strategy, guide a small team of QA engineers and stay hands-on with testing backend systems, databases and data pipelines.

• Design and execute manual and automated testing strategies for data pipelines, databases, APIs, and backend systems
• Lead, mentor, and support a small team of QA Engineers while contributing to daily technical work
• Build, maintain, and scale automation frameworks focused on data validation and system integration
• Validate data accuracy, consistency, and completeness across relational and non-relational databases
• Define testing priorities, distribute tasks, review test coverage, and ensure high-quality results
• Investigate complex defects, perform root-cause analysis, and work with developers and data engineers to resolve issues
• Establish and improve QA methodologies, testing standards, documentation, and automation practices
• Collaborate with Data Engineers, Developers, and Product Managers to identify risks, uncover edge cases, and ensure seamless data flow

• 5+ Years of QA engineering experience, including hands-on testing of complex data systems, ETL pipelines, APIs, or large-scale backend architectures
• Experience leading, mentoring, or coordinating QA Engineers while remaining hands-on technically
• Strong experience building and maintaining automation frameworks and using Selenium, Playwright, Rest Assured, or Postman
• Strong SQL skills and experience validating data integrity across relational or non-relational databases
• Strong experience in exploratory, integration, regression, and end-to-end testing
• Ability to investigate complex backend issues, understand system integrations, and perform root-cause analysis
• Hands-on leadership style, ownership of challenging testing tasks, and active involvement in automation and quality assurance
• Full professional fluency in written and spoken English

• Full-time employment
• Compensation is negotiable