Data QA Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data QA Engineer based in Germany.

As a Data QA Engineer, you will play a key role in ensuring the accuracy, reliability, and quality of data delivered to customers across a range of web scraping and AI-assisted projects. You will take ownership of quality assurance from the early stages of project development, translating customer requirements into clear and effective testing strategies. Combining exploratory testing, automated validation, and data analysis, you will identify inconsistencies, detect defects, and help prevent quality issues before they reach production. You will work closely with developers, project managers, QA leadership, and customers to establish measurable quality standards and continuously improve testing practices. Using Python, SQL, and modern testing technologies, you will turn complex data into actionable quality insights. Joining a globally distributed and collaborative team, you will enjoy the autonomy to improve processes and contribute to innovative data solutions.

Accountabilities

• Translate customer data extraction and web scraping requirements into clear, measurable testing strategies, taking ownership of quality assurance from the beginning of new projects.
• Design and execute comprehensive test plans combining exploratory, manual, visual, and automated testing approaches according to project needs.
• Perform regular testing cycles on extracted datasets to validate data accuracy, completeness, consistency, and reliability.
• Identify, investigate, document, and report defects with clear reproduction steps and sufficient technical detail to enable developers to resolve issues efficiently.
• Apply descriptive statistics, data summaries, and visualizations to assess data quality, identify anomalies, and monitor potential data drift.
• Prepare detailed test reports and quality scores, providing internal stakeholders and customers with an accurate understanding of project quality and potential risks.
• Clearly communicate testing coverage, limitations, unresolved issues, and remaining risks throughout...

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