About this role
Accountabilities:: Translate customer data extraction and web scraping requirements into clear, testable criteria and comprehensive QA strategies, taking ownership of quality assurance from the beginning of new projects. Perform exploratory, manual, and visual testing, complemented by automated testing where it provides measurable value. Execute test cycles on extracted datasets to validate compliance with customer specifications and identify inconsistencies, inaccuracies, missing information, and other defects. Document defects clearly and thoroughly, providing reproducible steps and supporting evidence so developers can investigate and resolve issues efficiently. Apply descriptive statistics, data summaries, and visualizations to assess completeness, accuracy, consistency, and data drift. Prepare quality reports and scoring metrics that communicate results honestly to internal teams and, where appropriate, customers. Clearly identify the scope of testing, any untested areas, and the associated risks to support informed project decisions. Collaborate with project managers and customers to clarify ambiguous requirements and ensure that expectations are measurable and testable before QA begins. Contribute to the development and improvement of test automation frameworks, with an emphasis on coverage, reliability, and performance. Identify, propose, and implement improvements to QA processes and tooling, including browser extensions, spreadsheet add-ons, and user-interface-based testing tools. Work independently while maintaining close collaboration with QA leadership, developers, and project managers to uphold quality standards throughout delivery. Requirements: At least 5 years of experience as a QA Engineer or in a comparable role involving software testing, data testing, or data quality assurance. Proficiency in Python for data analysis and validation, preferably using Pandas and Jupyter notebooks. Basic to intermediate SQL skills, including the ability to query and validate data in at least one relational database environment. Strong understanding of web technologies and protocols, including HTML, XPath, JSON, HTTP, and CSS. Experience testing HTTP/REST APIs and validating their responses against expected requirements. Solid knowledge of test case design, test data management, and practical approaches to exploratory and automated testing. Understanding of data quality principles, particularly completeness, accuracy, consistency, and data drift. Experience working in an Agile environment, such as Scrum or Kanban, and collaborating effectively with developers. Familiarity with AI and large language model (LLM) tools to improve test case generation and accelerate data validation workflows. A proactive, detail-oriented mindset with strong ownership of project quality and the confidence to uphold standards under delivery pressure. Ability to learn new technologies quickly, understand complex project requirements, and adapt testing strategies to different domains. Strong written and spoken English communication skills, with the ability to explain technical findings clearly and precisely. Nice to have: Practical knowledge of Scrapy or other Python-based web scraping frameworks. Experience working with test automation frameworks. An interest in data science concepts and their application to data analysis and validation. Enthusiasm for exploring AI and LLM-powered approaches to improve data quality assurance. Benefits: 35 days of paid holidays, supporting substantial time away from work. Flexible, location-independent working, with the freedom to work from where you are most productive. Global, multicultural team: Join a self-motivated, progressive, and internationally distributed team. Modern technology: Work with cutting-edge open-source technologies and tools. Autonomy and ownership: Contribute ideas, take responsibility for improvements, and help shape QA processes and tooling. Collaborative environment: Work closely with technical and project teams to solve meaningful data quality challenges. Additional details regarding salary, healthcare, retirement plans, and other benefits were not specified in the original job description. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
- LOCATION
- Remote · South Africa
- WORK MODE
- Remote
- JOB TYPE
- Full-time
- POSTED
- 19 Oct 2026
Source: Jobgether Careers