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 product ionise 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.