Principal QA Engineer – Data

The Very Group

. Define and implement the Data QA strategy across data platforms and products .

Posted 9/19/2026full-timeLiverpool • United KingdomLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Quality Assurance, including the design and implementation of automated testing frameworks for ETL/ELT pipelines and data transformations. Proficient in SQL for data validation and experienced in mentoring QA professionals while driving best practices in quality engineering.

Highest-signal resume keywords

Data QA StrategyAutomated Testing FrameworksETL/ELT TestingSQL ProficiencyCloud-Based Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data QAData TestingQuality EngineeringTest AutomationData Validation TechniquesTesting MethodologiesTest Data CreationRoot-Cause AnalysisPythonLakehouse Architectures

Soft Skills

Stakeholder ManagementCommunicationMentoringCoachingCuriosity

Tools & Technologies

AI-Enabled Testing ToolsCloud PlatformsAWS

Certifications & Qualifications

Credit ChecksCIFAS ChecksRight to Work ChecksDBS Check

Industry Keywords

Data PlatformsData PipelinesData TransformationsQuality AssuranceData Engineering

Tech Stack

Tools & technologies

AWSCloudETLPythonSQL

About the role

Key responsibilities & impact

Define and implement 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
Work with Data Engineering teams to embed quality throughout the development lifecycle
Perform data validation, reconciliation, and quality assurance across large datasets
Lead root-cause analysis and help resolve data quality issues
Mentor and coach QA Engineers and support their technical and professional development
Drive best practice across automation, quality engineering, and test management
Contribute to adoption of AI-enabled testing tools and modern engineering practices
Collaborate with Data Engineers, Analytics Engineers, Architects, and Product teams
Explore AI-assisted testing approaches to improve quality, efficiency, and delivery outcomes

Requirements

What you’ll need

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 interrogating, validating, and troubleshooting 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
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
Naturally curious mindset with a passion for identifying issues and improving quality
Python experience, particularly for test automation, test data creation, or data validation activities (nice to have)
Experience working within Lakehouse architectures and modern data platforms (nice to have)
Required to undertake credit, CIFAS, and Right to Work checks; DBS check if specifically required

Benefits

Comp & perks

Flexible, hybrid working model
£1000 flexible benefits allowance to suit your needs
30 days holiday + bank holidays
LinkedIn Learning access
Bonus potential (performance and business-related)
Up to 25% discount on Very.co.uk
Matched pension up to 6%
Inclusive culture and environment
Reasonable adjustments for recruitment, interview, or role performance
Credit, CIFAS, Right to Work, and where required DBS checks as part of the hiring process