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
Azure Data Factory, Issue Analysis, Regression Testing, Data Validation
QE Functional Tester – Data & Analytics in Leeds employer: UST
As a Salesforce Delivery Lead in London, you will join a dynamic and innovative team within the Financial Services sector, where your expertise will drive impactful technology initiatives. Our hybrid work culture promotes flexibility while fostering collaboration, and we are committed to your professional growth through continuous learning opportunities and mentorship. With a focus on Agile practices and high-performance teams, we offer a rewarding environment that values your contributions and encourages meaningful engagement with stakeholders.
