About the team Data is at the heart of everything we do at Very. From powering customer experiences and operational decision-making to enabling advanced analytics and AI, our data platforms play a critical role in helping the business move forward with confidence.We're looking for a Principal QA Engineer to join our growing Data Engineering team and help shape the future of quality assurance across our modern data ecosystem.This is a highly influential role where you'll lead the evolution of Data QA practices, champion automation, and help establish the frameworks, standards, and ways of working that will underpin our next generation of data platforms. Working closely with Data Engineers, Analytics Engineers, Architects, and Product teams, you'll ensure quality is built into every stage of the data lifecycle.You'll be joining at an exciting time as we evolve our operating model, modernise our testing approach, and significantly increase our automation capability across the Data function. About the role As a Principal QA Engineer, you'll be responsible for defining and driving the Data QA strategy across a complex and evolving data landscape.You'll lead the move from a predominantly manual testing approach towards a scalable and automated framework, helping to improve confidence, speed, and quality across our data products and platforms.Working closely with engineering teams, you'll design and implement robust testing frameworks for data pipelines, transformations, integrations, and reporting layers. You'll also play a key role in validating data quality, identifying defects early, and ensuring that data products are reliable, accurate, and fit for purpose.Beyond the technical aspects of the role, you'll act as a technical leader within the team, mentoring and coaching QA Engineers while helping to establish best practices, standards, and a culture of continuous improvement.You'll also explore how emerging technologies, including AI-assisted testing approaches, can help improve quality, efficiency, and delivery outcomes across the wider Data organisation.

• Defining and implementing the Data QA strategy across our data platforms and products
• Designing and introducing scalable automated testing frameworks for data solutions
• Developing testing approaches for ETL/ELT pipelines, data transformations, and integrations
• Creating and maintaining robust test data strategies and test scenarios
• Working closely with Data Engineering teams to embed quality throughout the development lifecycle
• Performing data validation, reconciliation, and quality assurance activities across large datasets
• Leading root-cause analysis and helping teams identify and resolve data quality issues
• Mentoring and coaching QA Engineers, supporting their technical and professional development
• Driving best practice across automation, quality engineering, and test management
• Contributing to the adoption of AI-enabled testing tools and modern engineering practices
• About you 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 with the ability to interrogate, validate, and troubleshoot complex datasets
• Experience building and implementing test automation frameworks
• Strong understanding of data quality principles, data validation techniques, and testing methodologies
• Experience working within cloud-based environments, ideally AWS
• The ability to create meaningful test data and define complex testing scenarios
• Strong stakeholder management and communication skills
• Experience mentoring, coaching, and developing other QA professionals
• A naturally curious mindset with a passion for identifying issues and improving quality
• Nice to havePython experience, particularly for test automation, test data creation, or data validation activities
• Experience working within Lakehouse architectures and modern data platforms
• Some of our benefits Flexible, hybrid working model
• Inclusive culture and environment, check out our Glassdoor reviews
• £1000 flexible benefits allowance to suit your needs
• 
  

About the team Data is at the heart of everything we do at Very. From powering customer experiences and operational decision-making to enabling advanced analytics and AI, our data platforms play a critical role in helping the business move forward with confidence.We're looking for a Principal QA Engineer to join our growing Data Engineering team and help shape the future of quality assurance across our modern data ecosystem.This is a highly influential role where you'll lead the evolution of Data QA practices, champion automation, and help establish the frameworks, standards, and ways of working that will underpin our next generation of data platforms. Working closely with Data Engineers, Analytics Engineers, Architects, and Product teams, you'll ensure quality is built into every stage of the data lifecycle.You'll be joining at an exciting time as we evolve our operating model, modernise our testing approach, and significantly increase our automation capability across the Data function. About the role As a Principal QA Engineer, you'll be responsible for defining and driving the Data QA strategy across a complex and evolving data landscape.You'll lead the move from a predominantly manual testing approach towards a scalable and automated framework, helping to improve confidence, speed, and quality across our data products and platforms.Working closely with engineering teams, you'll design and implement robust testing frameworks for data pipelines, transformations, integrations, and reporting layers. You'll also play a key role in validating data quality, identifying defects early, and ensuring that data products are reliable, accurate, and fit for purpose.Beyond the technical aspects of the role, you'll act as a technical leader within the team, mentoring and coaching QA Engineers while helping to establish best practices, standards, and a culture of continuous improvement.You'll also explore how emerging technologies, including AI-assisted testing approaches, can help improve quality, efficiency, and delivery outcomes across the wider Data organisation.

• Defining and implementing the Data QA strategy across our data platforms and products
• Designing and introducing scalable automated testing frameworks for data solutions
• Developing testing approaches for ETL/ELT pipelines, data transformations, and integrations
• Creating and maintaining robust test data strategies and test scenarios
• Working closely with Data Engineering teams to embed quality throughout the development lifecycle
• Performing data validation, reconciliation, and quality assurance activities across large datasets
• Leading root-cause analysis and helping teams identify and resolve data quality issues
• Mentoring and coaching QA Engineers, supporting their technical and professional development
• Driving best practice across automation, quality engineering, and test management
• Contributing to the adoption of AI-enabled testing tools and modern engineering practices
• About you 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 with the ability to interrogate, validate, and troubleshoot complex datasets
• Experience building and implementing test automation frameworks
• Strong understanding of data quality principles, data validation techniques, and testing methodologies
• Experience working within cloud-based environments, ideally AWS
• The ability to create meaningful test data and define complex testing scenarios
• Strong stakeholder management and communication skills
• Experience mentoring, coaching, and developing other QA professionals
• A naturally curious mindset with a passion for identifying issues and improving quality
• Nice to havePython experience, particularly for test automation, test data creation, or data validation activities
• Experience working within Lakehouse architectures and modern data platforms
• Some of our benefits Flexible, hybrid working model
• Inclusive culture and environment, check out our Glassdoor reviews
• £1000 flexible benefits allowance to suit your needs
•