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.

Skillset

• 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.

Interested? Apply today for a confidential discussion with our Talent Acquisition team.

#UST

Skills

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