Data QA Engineer - Remote

About the role

Data QA is how we make sure the data we deliver is right before the customer sees it. 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. Quality assurance is more useful as a question asked at the start than a gate at the end.

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

What you need

• 5–9 years in quality assurance & testing
• Test cases
• SQL
• LLMs
• Agile
• Test automation
• HTML
• Any graduate

Good to have

• Python
• Pandas
• CSS
• REST APIs