OverviewThis organisation builds cloud-based technology platforms that simplify complex operations and improve day-to-day experiences for large institutions and their users. By combining data, analytics, and modern software engineering, the company delivers reliable, insight-driven solutions at scale.ResponsibilitiesDesign and evolve automated testing frameworks covering data pipelines, APIs, analytics platforms, and applicationsOwn quality practices for data platforms, influencing standards and improving testing approaches across teamsValidate data correctness, consistency, and performance across batch and streaming workloadsTest large-scale Spark-based pipelines, including transformation logic and outputsWork closely with product, engineering, and analytics teams to define test strategies and acceptance criteriaVerify front-end applications and backend services built on modern web and cloud technologiesEnsure reporting and dashboards deliver accurate, reliable insightsEmbed automated testing into CI/CD pipelines and cloud deploymentsTrack and report quality KPIs, contributing to continuous improvementSupport testing across development, UAT, and post-release phases, providing clear, actionable feedbackSkills & ExperienceStrong background in QA automation within data teamsSeveral years’ experience testing data-intensive platforms or distributed systemsProficiency in Python for test automation and data validationAdvanced SQL skills for reconciliation, transformation, and performance checksHands-on testing experience with big data technologies and cloud platforms (Azure preferred)Comfortable working in Agile environments (Scrum / Kanban)Experience with source control and modern DevOps workflowsConfident communicator with strong written and verbal EnglishNice to HaveExperience with Databricks, Spark, Delta Lake, streaming data, or similar technologiesFamiliarity with Power BI or analytics/report testingExposure to CI/CD tools, infrastructure automation, or cloud-native deployments
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