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Data QA Engineer

Robert Half
London
9 months ago
Applications closed

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Robert Half are assisting a market leading financial services organisation to recruit an Data QA Engineer on an initial 6 month contract basis

Role

  • The Data QA Engineer will perform rigorous data validation and testing to support data migration efforts, ensuring high standards of data quality and integrity.
  • Collaborate with data engineering on ELT testing, specifically in identifying and troubleshooting errors in data movement and transformation processes.
  • Establish and implement automated data validation frameworks that ensure data accuracy, consistency and reliability across our data pipeline.
  • Create and maintain CI/CD-integrated QA workflows to support real-time testing and automated quality checks, focusing on Azure and Snowflake infrastructure.
  • Develop automated test cases for data validation, focusing on critical workflows, data transformations, and API integrations within both Snowflake and Azure. Collaboration & Support for Data Engineering
  • Work closely with the Senior Data Engineer to set and maintain quality standards for the Snowflake data warehouse, supporting scalability and reporting needs.
  • Participate in data architecture discussions, providing QA insights on best practices for data collection, transformation, and loading processes to maintain end-to-end quality.
  • Ensure data reliability and accuracy by proactively identifying potential data discrepancies and issues, particularly API data integration, CI/CD workflows.
  • Develop reusable, modularised test scripts in Python and SQL to streamline testing across various stages of the data pipeline.
  • Conduct regular data cleansing activities, identifying, documenting, and addressing data anomalies within the financial lending dataset.


Profile

  • The Data QA Engineer will have solid understanding of the data lifecycle, including experience with data collection, transformation, cleansing, validation, and testing in complex environments.
  • Familiarity with data integration tools like FiveTran and proficiency in SQL for testing data accuracy and consistency. Technical Proficiency
  • Hands-on experience with data validation in Snowflake or similar cloud data warehouses, including data testing and quality checks in SQL views.
  • Proficiency in SQL and Python for advanced data validation and data quality assurance automation.
  • Knowledge of Azure and Azure DevOps for managing QA within CI/CD pipelines, including experience with containerised environments.
  • Familiarity with automated data validation and monitoring tools within Snowflake and Azure, focusing on real-time error detection and alerting.
  • Knowledge of data automation tools and scripting for streamlined data QA processes. Financial Sector Familiarity (Preferred)
  • Experience in financial lending or similar sectors, understanding industry-specific data requirements and quality assurance practices. Collaboration & Communication

Company

  • Market leading financial services organisation
  • Offices globally including London

Salary & Benefits

The salary range/rates of pay is dependent upon your experience, qualifications or training.

Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:roberthalf.com/gb/en/privacy-notice.

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