Principal QA Engineer - Data

Overview

As a Principal QA Engineer in Verys Data Engineering team, you will steer the Data QA strategy and enable a scalable automated testing framework for data pipelines, transformations, and reporting. You’ll partner with Data Engineers, Analytics Engineers, and Product teams to bake quality into the data lifecycle and advance AI-enabled testing. This is a leadership role shaping quality practices and the next generation of data platforms.

Pay / Benefits

• Flexible, hybrid working model
• 1000 flexible benefits allowance
• 30 days holiday + bank holidays
• LinkedIn Learning access
• Bonus potential (performance and business-related)
• Up to 25% discount on Very.co.uk

Responsibilities

• Define and drive the Data QA strategy across data platforms and products
• Design and introduce scalable automated testing frameworks for data solutions
• Develop testing approaches for ETL/ELT pipelines, data transformations, and integrations
• Create and maintain robust test data strategies and test scenarios
• Embed quality throughout the development lifecycle with Data Engineering teams
• Perform data validation, reconciliation, and QA across large datasets
• Lead root-cause analysis and resolve data quality issues
• Mentor and coach QA Engineers and promote best practices
• Champion automation and AI-enabled testing tools across the Data organisation
• Contribute to modern engineering practices and test management

Key requirements

• Significant experience in Data QA, Data Testing, Quality Engineering, or SDET roles
• Strong experience testing modern data platforms, data pipelines, and ETL/ELT processes
• Excellent SQL skills for data validation and troubleshooting
• Experience building and implementing test automation frameworks
• Solid understanding of data quality principles and testing methodologies
• Experience in cloud environments, ideally AWS
• Ability to create meaningful test data and complex test scenarios
• Strong stakeholder management and communication skills
• Experience mentoring and developing QA professionals
• Curious mindset and passion for improving quality
• Stakeholder management
• Communication
• Mentoring and coaching
• SQL
• Test automation frameworks
• Data platforms and pipelines

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