Data QA Engineer

Data QA Engineer, Data & Analytics
Location: Leeds (Hybrid, 2 days onsite per week)
Rate: Competitive day rate (Outside IR35)

Fruition are recruiting for a well-known organisation undertaking a major data and analytics programme within Azure. The business has recently delivered a successful Proof of Concept for a cloud-based analytics solution, enabling secure data extraction from a centralised Data Lake to external platforms. This contract role will focus on leading QA activity to productionise the solution into a live MVP, supporting a critical delivery phase within a highly technical Azure data environment.

QA Engineer Responsibilities:

• Lead on QA activities for a technical analytics and data export platform
• Deliver testing across Azure data pipelines and cloud-native services
• Validate JSON file exports, data integrity and transformation logic
• Test Spark Notebook outputs and data processing workflows
• Execute functional and non-functional testing, including performance testing
• Support CI/CD pipelines with robust QA practices
• Collaborate with engineering and data teams to ensure production readiness

QA Engineer Requirements:

• Proven experience testing Azure data pipelines:
• Azure Data Factory, Microsoft Fabric, Synapse, Databricks
• Strong understanding of Spark Notebooks and data outputs
• Hands-on experience with Python and SQL
• CI/CD experience within cloud environments
• Strong Azure platform knowledge
• Comfortable working with structured and semi-structured data

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.