Robert Half is recruiting an experienced Data QA Engineer for a London-based financial service organisation. This is an initial 5-month contract with the potential for extension.
Role:
* The Data QA Engineer will conduct data validation and testing to support migration, ensuring data quality and integrity.
* Collaborate with data engineering on ELT testing to resolve issues in data movement and transformation.
* Design and implement automated validation frameworks for pipeline accuracy, consistency, and reliability.
* Develop CI/CD-integrated QA workflows for real-time testing and quality checks in Azure and Snowflake
* Identify data discrepancies and ensure accuracy in API integrations and CI/CD workflows.
* Develop reusable test scripts in Python and SQL to optimise testing across the data pipeline.
* Document QA processes, test cases, and findings to build a knowledge base for quality assurance.
Experience:
* The Data QA Engineer should be proficient in data validation across the full life cycle, including data collection, transformation, cleansing, and testing in complex environments.
* Strong skills in SQL for advanced querying and Python for developing automation scripts and test cases.
* Hands-on experience with Snowflake, including implementing data quality checks and validation frameworks.
* Experience validating data movement and transformation processes in ETL/ELT pipelines, ensuring error-free workflows.
* Familiarity with Azure DevOps or similar platforms for managing QA in continuous integration and deployment environments.
* Experience working in financial services, ideally within a small to medium-sized enterprise (SME).
Orginisation:
* Initial 5-month contract
* Global financial services organisation
* Hybrid working, London-based
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