Remote Data QA Engineer

About the role

Zyte, founded in 2010, is a globally distributed team of over 250 people working from more than 28 countries, helping customers extract the data they need. As a Data QA Engineer, you check the data produced by Zyte's spiders and AI-assisted projects against what the customer asked for, find what is wrong and report it to the team. Quality assurance is done early, so problems are fixed before reaching the customer.

Key responsibilities

• Turn customer scraping and data requirements into a clear test approach and own QA from the start on new projects
• Combine exploratory manual and visual testing with automated tests where automation pays for itself
• Run test cycles on extracted data and report the results clearly
• Write detailed defects that a developer can reproduce and fix without a conversation
• Use descriptive statistics, summaries and charts to show completeness, accuracy, consistency and drift
• Produce test reports and quality scores, and explain what was tested, what was not and the remaining risks
• Work with project managers and clients to clarify unclear or untestable requirements before QA begins
• Contribute to the test automation framework, focusing on coverage and performance
• Suggest and take ownership of improvements to QA process and tooling, including browser and spreadsheet add-ons and UI-based test automation tools
• Work with QA leadership, project managers and developers with minimal supervision

Required profile

• 5+ years in a QA Engineer or similar role testing software or data
• Proactive, detail-oriented QA professional with a strong sense of ownership over project quality
• Fast learner able to understand complex project requirements quickly and adapt to new technologies
• Uses AI and LLM tools to optimise test case generation and accelerate data validation
• Works in an agile team (Scrum or Kanban) alongside developers
• Clear written and spoken English

Required skills

• Python preferred, with Pandas and Jupyter for data analysis and validation
• Basic to intermediate SQL and comfort with at least one relational database
• Web technologies: HTML, XPath, JSON, HTTP and CSS
• Writing tests against HTTP/REST APIs
• Nice to have: Scrapy, test automation frameworks, data science concepts, interest in AI and LLM tools for validation

What we offer

• A self-motivated, progressive, multi-cultural team
• Freedom and flexibility to work from wherever you do your best work
• Access to cutting-edge open source technologies and tools
• 35 days of paid holidays