We are looking for a Quality Engineer to support the Data team as we continue to enhance our data platforms, pipelines and internal tools. You will play a critical role in embedding quality across our data products ensuring accuracy, reliability and consistency in data processing, APIs, and end‑to‑end flows. Working closely with Data Engineering, BI, Product and Platform teams, you will help evolve our testing approach, increase automation, and strengthen our overall data quality framework.
Define, develop and execute test cases for data pipelines, transformations, APIs and internal data applications.
Perform functional, integration, regression and exploratory testing for data workflows.
Enhance and evolve automated testing for data components, including pipeline validation, API testing and schema checks.
Contribute to improving internal test tooling aligned with our automation strategy.
Ensure high code quality and strong test coverage within automation suites.
Work closely with Data Engineering, BI and Product teams to embed testing early (3 Amigos, refinement, design sessions).
Collaborate with engineers to ensure testability is designed into data pipelines and ETL processes.
Identify risks, gaps and dependencies and communicate them proactively to stakeholders.
Participate in Scrum ceremonies and support continuous delivery practices.
Contribute to the evolution of data quality processes, standards and reusable testing patterns.
Drive improvements in CI/CD testing for data services and pipelines.
Explore further opportunities for automation and workflow optimisation.
5+ years’ experience in QA / Quality Engineering, ideally including data‑centric testing.
Strong SQL experience (validation queries, joins, aggregations, data profiling).
Experience testing APIs, data pipelines, ETL processes and distributed systems.
Exposure to CI/CD environments and automated test pipelines.
Coding skills beneficial (TypeScript/JavaScript, Python or similar) for data test automation.
Familiarity with tools such as Postman/Insomnia, Git, and Linux.
Solid understanding of functional, integration and regression testing methodologies.
Experience designing test plans, test cases and exploratory test charters.
Experience applying automation design patterns that support scalable and maintainable tests.
Knowledge of data validation techniques and schema‑level testing.
Excellent problem‑solving skills and strong analytical mindset.
Ability to communicate clearly with technical and non‑technical stakeholders.
Comfortable working in cross‑functional teams within a fast‑paced environment.
Intellectual curiosity and interest in improving data quality practice
Our purpose is simple: to create moments that matter between people and the brands they cherish. We enable brands to expand their global reach, facilitating simple and seamless ecommerce experiences for consumers worldwide. Through our integration solutions, we deliver a complete international checkout experience, including local duties, taxes, fulfilment, delivery management, and global returns and payment processing capabilities.
Guided by our values: Own It, Champion Simplicity, Win as One, and Debate then Commit, we strive to foster innovation, accountability, and teamwork, creating solutions that inspire trust and drive impactful results.
ESW is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at ESW are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law.
If you require any reasonable accommodations or adjustments throughout the hiring process, please let us know. We are dedicated to ensuring equal access and opportunity for all candidates.
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