QA Engineer

QA Engineer - Data & ETL Testing Start: ASAP Duration: Contract until EOY 2026 + extensions Location: 100% Remote - EU-based candidates only Language: English Role Overview We are looking for an experienced QA Engineer specialising in Data and ETL Testing to support the validation of a metadata-driven Data & AI platform. The role will focus on validating data accuracy, ETL pipelines, XML-to-JSON transformations, metadata-driven processing, integrations, auditability and end-to-end functionality across a modern Azure data environment. You will work across Azure Data Factory, Databricks, Azure Data Lake, SQL and Microsoft Foundry AI services, supporting integration, system testing, UAT and go-live activities. Key Responsibilities Review business requirements, source-to-target mappings, metadata specifications and solution designs. Develop test strategies, test plans, scenarios, test cases and traceability matrices. Identify testability gaps, risks and data requirements. Perform source-to-target data validation and reconciliation. Validate XML ingestion, parsing and XML-to-JSON transformations. Validate field mappings, business rules and transformation logic. Perform record count, completeness and data quality checks. Test metadata-driven processing across different file types and data sources. Validate Azure Data Factory orchestration workflows. Test Databricks notebook execution and processing logic. Validate control tables, processing statuses and audit trails. Test pipeline restart, recovery and error-handling mechanisms. Perform end-to-end validation across ingestion, processing and output layers. Validate AI-generated JSON content against defined business expectations. Test integrations between ADF, Azure Storage, Databricks, Microsoft Foundry AI services and control tables. Validate error, duplicate and successful record routing. Support compliance evidence, UAT and business validation. Log and manage defects through to resolution. Perform root cause analysis, retesting and regression testing. Produce quality status reporting. Support go-live readiness and hypercare. Required Technical Skills Data & ETL Testing 5+ years of Data / ETL Testing experience. ETL / Data Warehouse Testing. Source-to-target validation. Data reconciliation and data quality testing. Strong SQL query development. Data profiling. Azure / Data Technologies Azure Data Factory (ADF). Azure Databricks. Azure Data Lake Storage (ADLS). Azure SQL / SQL Server. Control table validation. Understanding of cloud-based data pipelines. File & API Testing XML validation/testing. JSON validation/testing. API testing. CSV and Excel data validation. XML-to-JSON transformation testing. Test Management Jira. Xray and/or Azure DevOps. Test planning and traceability. Defect lifecycle management. Agile/Scrum testing experience. Experience Required 4+ years' overall Software Testing experience. 5+ years' Data Testing / ETL Testing experience. Strong experience testing Azure-based data platforms. Strong SQL skills, including complex queries for data validation. Experience with API, XML and JSON testing. Experience working within Agile/Scrum delivery environments. Strong understanding of integration and end-to-end testing. Nice to Have Life Sciences / Pharmaceutical experience. Pharmacovigilance domain experience. Experience working within regulated environments. Knowledge of GxP / CSV / Computer System Validation. Azure certifications. ISTQB certification. Experience validating AI / Generative AI outputs.