QE Functional Tester – Data & Analytics

Role description Location:West Yorkshire\-Multiple locations (Hybrid – 3 days onsite, mandatory)

Employment Type: Permanent \| Fixed\-Term Contract \|

Start Date: Immediate

Key Responsibilities

• Analyse business and functional requirements to create comprehensive test scenarios, test cases, and test plans for Data \& Analytics solutions.


• Validate data ingestion, transformation, aggregation, and reporting processes across Azure Data Factory, Azure Databricks, and downstream reporting platforms.


• Perform end\-to\-end functional testing of data pipelines, ensuring data accuracy, completeness, consistency, and business rule compliance.


• Execute data validation, reconciliation, regression, and user acceptance testing across source, staging, curated, and reporting layers.


• Collaborate with Data Engineers, Product Managers, Business Analysts, and Architects to understand requirements and define test coverage.


• Design and execute automated data validation and reconciliation tests to improve testing efficiency and coverage.


• Support continuous testing practices within CI/CD and DataOps pipelines.


• Investigate defects, perform root cause analysis, and work closely with engineering teams to ensure timely resolution.


• Ensure traceability between requirements, test scenarios, defects, and release deliverables.


• Contribute to quality engineering best practices and continuous improvement initiatives.

• Strong experience in Data Warehouse, Data Lake, and Lakehouse testing.


• Hands\-on experience testing data solutions built on Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2\), and related Azure services.


• Proficiency in SQL for data validation, reconciliation, and complex data analysis.


• Experience with Python and/or PySpark for test automation, data validation, and large\-scale data testing.


• Strong understanding of ETL/ELT testing, source\-to\-target validation, and data quality testing.


• Experience validating batch and near real\-time data pipelines.


• Familiarity with GitHub, Azure DevOps, CI/CD pipelines, and automated testing frameworks. Understanding of data modelling concepts including Data Warehousing, Data Lakes, Lakehouse, and Medallion Architecture.


• Experience working within Agile delivery frameworks such as Scrum, Kanban, and Lean.


• Strong analytical, problem\-solving, and stakeholder communication skills


• . Experience testing analytics, reporting, business intelligence, and data product solutions.


• Knowledge of data governance, data quality, and data reconciliation processes would be advantageous.

\#UST

Skills

Azure Data Factory, Issue Analysis, Regression Testing, Data Validation

About UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future\-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

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