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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Quality Engineer - **Company:** Canada Life Limited - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automation of Tests, Microsoft Azure, Software Bug Management, Computer Programming, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Database Testing, Python (Programming Language), Scrum Methodology, Standard Sql, SQL Databases, Enterprise Data Management, Integration Tests, Data Pipelines, Databricks - **Published:** June 11, 2026 - **Apply:** https://www.totaljobs.com/job/data-quality-engineer/canada-life-uk-job107509048 ## About the Role * Passionate about Data and driving quality into our Data Products. * Coding experience, in Python and SQL, and development of test automation. * Experience in Data quality engineering. * Proven track record of driving quality focused on automation, building tools, and QA testing. * Very hands-on in developing quality frameworks and test automation. * Worked within an Scaled Agile delivery team, using Scrum and/or Kanban to deliver incremental business value through frequent data product releases * Willingness to learn and passionate about new innovations and techniques * Experience of defect management, triage, and understands how to take a risk assessment based approach (i.e., figuring out what the likelihood and impact of a bug is) * Strong analytical problem-solving skills and looking beyond what's obvious * Must have working in / applied Continuous Integration (CI) successfully. * Excellent written and verbal communication skills. * Working in a fast-paced environment. ## Description We are looking for experienced Data Quality Engineers at all levels with strong Data and ETL pipeline testing. With Python and SQL skills to join our team. An understanding of Databricks and Azure ADF is also desirable. The successful candidate will form part of the Enterprise Data Platform team (NOVA) responsible for delivering on the product roadmap and enhancing automation practices. As a part of a Nova team, you will be working at every stage of a product lifecycle from conception, design, data engineering, testing and through to implementation. With automation at the heart of everything CLUK are doing, you should have strong understanding of test automation techniques, CI/CD, and use of AI to expediate AI-Augmented Agile delivery at scale. What You'll Do * Responsible for ensuring quality is at enforced across the agile delivery lifecycle. Ensuring full traceability for every delivery from Outcome through to user acceptance. * Ensuring our we deliver Data Products which are timely, trusted, and always available. Through strong Functional Data Testing, Integration testing of our data pipelines. As well as non functional testing. * Define the test approach for all business outcomes, working with the Product Owner to ensure the Acceptance criteria is met. * Work with the BA and Solution Designers to capture the test scenarios for each epic within the delivery. * Responsible for ensuring test cases captured and linked to user stories as part of the backlog refinements Definition of Ready. * Design, implement, and maintain automated tests executed in CI/CD Pipelines and other data * Participate in technical discussions and provide recommendations for improvements. * Providing training and guidance for Junior and less experience team and quality practice members in CLUK ## Related Videos - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Let’s Talk Quality!](https://www.wearedevelopers.com/videos/100012-let-s-talk-quality) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse](https://www.wearedevelopers.com/videos/100240-analytics-in-the-age-of-agentic-ai-a-tour-of-clickhouse-and-langfuse) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The 8 Best Code Testing Tools](https://www.wearedevelopers.com/magazine/402-the-8-best-code-testing-tools) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)