QA Engineer (EU)

Job Description Insight Global is seeking a QA Engineer for a top data and analytics client. This role focuses on validating end-to-end platform functionality and ensuring high-quality delivery across enterprise-scale solutions used by hundreds to thousands of users. The ideal candidate brings a strong QA foundation, experience maintaining regression test suites, and an automation-first mindset—while understanding that manual testing is critical early on. This individual will partner closely with Tech Leads and engineering teams, providing clear reporting and insights into system performance, quality gaps, and opportunities for improvement. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

To learn more about how we collect, keep, and process your private information, please review

Insight Global's Workforce Privacy Policy:

https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 5+ years of QA / Quality Assurance experience Strong experience validating end-to-end solutions Proven ability to create, maintain, and update test cases Experience maintaining regression test suites and using test cases as deltas for change Experience with UAT (User Acceptance Testing) Ability to evaluate systems based on behavior, visibility, and outcomes, not code quality Strong reporting skills—able to communicate findings clearly to Tech Leads Understanding of software development lifecycle (SDLC) Automation-first mindset, with comfort starting manual testing initially Strong communication and documentation skills Experience with test automation frameworks Exposure to AI-enabled or data-driven platforms Experience testing platform-level solutions (not just single applications) Familiarity with CI/CD pipelines and automated testing integration Experience working in enterprise or high-traffic environments Background collaborating closely with engineering and product teams