QA Engineer - Azure Focus

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 life cycle 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.