From the listing
About the role
At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses.
As a Data QA Engineer, you will check the data our spiders and AI-assisted projects produce against what the customer asked for, find what is wrong and tell the team exactly what you found. Part of this role is asking questions early so problems are fixed before they reach the customer.
What you'll do
- 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 up defects with enough detail that a developer can reproduce and fix them without a conversation.
- Use descriptive statistics, summaries and charts to show how good the data is: completeness, accuracy, consistency and drift.
- Produce test reports and quality scores that give the team and the customer a true picture.
- Say what was tested, what was not, and what risk that leaves.
- Work with project managers and clients to clear up unclear or untestable requirements before QA begins.
- Feed into our test automation framework, with a focus on coverage and performance.
- Suggest and take ownership of improvements to QA process and tooling, including browser add-ons and UI-based test automation tools.
- Work with QA leadership, project managers and developers with minimal supervision.
What they're looking for
- 5+ years in a QA Engineer or similar role testing software or data.
- Python proficiency, specifically Pandas and Jupyter for data analysis and validation.
- Basic to intermediate SQL queries and comfort with relational databases.
- Solid grasp of web technologies and protocols: HTML, XPath, JSON, HTTP and CSS.
- Experience writing tests against HTTP/REST APIs.
- Proactive and detail-oriented with a strong sense of ownership.
- Fast learner adept at understanding complex project domain requirements.
- Ability to leverage AI and LLM tools to optimize test case generation and accelerate data validation.
- Good test case design and test data management.
- Experience working in an agile team (Scrum or Kanban) alongside developers.
- Understanding of data quality concepts such as completeness, accuracy, consistency and drift.
- Clear written and spoken communication in English.
Nice to have
- Working knowledge of Scrapy and other Python-based scraping frameworks.
- Experience with test automation frameworks.
- Interest in data science concepts as they apply to data analysis and validation.
- Interest in using AI and LLM tools to speed up data validation.
From the company page
Zyte benefits
◉ Remote policy · in their words
“Unlock Global Opportunities in a completely remote environment”
Pulled from their careers page · verified by Atlas
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