QA Automation Engineer
Catawiki
| Company | Catawiki |
| Category | Engineering |
| Location | Amsterdam |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 22 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car , a Woolly Mammoth’s Skeleton , Lady Gaga's Jumpsuit or Usain Bolt’s running shoe , we encounter exceptional objects every day.
We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts.
Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us.
Taking ownership and driving impact
Being open to change and feedback
Being passionate about our mission and our customers.
Your Mission
Quality is an engineering discipline, not a final checkpoint. As a QA Automation Engineer , you’ll build scalable automation systems that help teams deliver reliable web, mobile, and backend experiences with confidence. You’ll combine strong hands-on coding with a product and business mindset, embedding quality into engineering workflows, focusing effort on the highest-risk user journeys, and improving frameworks, pipelines, and practices beyond your immediate scope.
What You'll Do
You’ll own and improve the automation foundations and tooling that make testing faster, more reliable, and easier to maintain across the software delivery lifecycle.
Build scalable automation frameworks using tools such as Playwright, Selenium, or Cypress, applying object-oriented principles and maintainable design patterns.
Embed quality into CI/CD by integrating automated tests into pipelines and establishing effective release quality gates.
Test APIs and backend systems across REST and GraphQL, validating data integrity, business logic, and system behaviour.
Improve test effectiveness by increasing meaningful coverage, reducing regression time, and addressing flaky or slow test suites.
Apply risk-based testing to prioritise critical user journeys and areas with the greatest customer and business impact.
Strengthen quality engineering practices by improving frameworks, pipelines, internal tooling, and team processes.
Collaborate across Engineering, Product, and Business to communicate quality in terms of risk, impact, and practical trade-offs.
Mentor and influence others by sharing best practices and acting as an informal technical leader while remaining hands-on.
What You'll Bring
You’re a product-minded quality engineer who thinks in systems rather than individual test cases. You write production-quality code, take end-to-end ownership, and can show how your work has improved delivery outcomes.
Deep automation experience : Around 7–12 years of relevant experience, with a progression from quality assurance into hands-on automation engineering or software development in test.
Strong programming skills : The ability to write clean, production-level code in Java, Python, JavaScript, C#, or a comparable language.
Framework design expertise : Experience building or significantly improving maintainable, modular automation frameworks rather than only using existing ones.
CI/CD ownership : Hands-on experience integrating automated tests with tools such as Jenkins, GitLab, or Azure DevOps, including PR checks or release gates.
Backend testing strength : Strong API testing experience across REST or GraphQL and confidence working with backend-heavy systems.
Product and business judgement : A risk-based approach to deciding what to automate, grounded in user impact, critical flows, and return on effort.
Evidence of measurable impact : Examples such as increased automation coverage, shorter regression cycles, faster pipelines, or improved team efficiency.
Clear, coll
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