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.
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