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QA Engineer with SQL/Database Testing

Pubblicato il 15-10-2026 - Ntt Data Europe & Latam in Ro

Who We Are

We don’t just test software, we elevate it The QA & Agile Competence Center at NTT DATA Romania brings together specialists in test automation and quality engineering, ensuring fast, reliable, and safe delivery across all projects. With strong expertise in UI & API automation, continuous testing, performance testing, and agile frameworks, we build scalable automation frameworks, integrate quality into CI/CD pipelines, and enable teams to deliver high‑quality releases at speed. In every industry we support — from Automotive to Finance and e‑Commerce — we turn quality into a competitive advantage.

We’re looking for a highly engaged Quality Assurance Engineer with German to join one of our projects within a large‑scale telecommunications environment. The project aims to validate and ensure the quality of legacy applications as they are transformed into modern, scalable, and user‑centric web interfaces, delivering seamless digital experiences for millions of customers. This role offers the opportunity to work on a modern and technically complex project,



where quality plays a key role in ensuring reliable and high‑performing solutions at scale. You will support the end-to-end testing of applications and ensure quality across the entire application flow, from UI and API interactions through to database validation. The role requires strong test automation experience, ideally with Playwright, as well as the ability to work with SQL to validate data and investigate application behavior at database level.

What You'll Be Doing

• Design, develop and maintain automated end-to-end test scenarios for web applications.
• Perform automated testing across UI and API layers.
• Validate application behavior across the complete flow: UI/API → application/backend → database.
• Use SQL queries to verify that data generated or modified through UI or API interactions is correctly persisted in the database.
• Compare expected vs. actual results at database level.
• Validate th

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