Quality Assurance Engineer (Data Platform)The CompanyFounded in 2018, our client are revolutionising the insurance market and have grown year on year. They operate a remote set-up and the overall business are made up of self-managed and collaborative high performers.

About the RoleWe’re looking for a QA Engineer with strong data expertise to join our client in the Insurance Technology space. This isn’t a typical QA role — you’ll work closely with data and analytics engineers to ensure the quality, accuracy, and trustworthiness of data products that power critical business decisions. You’ll be instrumental in designing robust testing frameworks, advocating for data quality best practices, and enabling teams to move fast without compromising on integrity.

Key Responsibilities

Define and execute test strategies for data pipelines to ensure data accuracy, reliability, and usability

Collaborate with data engineers, analytics engineers, and product stakeholders to validate requirements and guide test coverage

Design, develop, and maintain automated tests that embed quality into the heart of the development lifecycle

Identify potential risks and data regression scenarios based on downstream consumption patterns

Balance speed and quality in a dynamic, agile data environment by targeting meaningful checkpoints

Champion a culture of quality and advocate for testing best practices across data teams

Required Skills and Experience

5+ years of experience in software testing, with a strong emphasis on data quality and pipelines

Advanced proficiency in SQL and relational database systems

Excellent analytical and problem-solving abilities, with a strong attention to detail

Proven experience collaborating with cross-functional teams to drive data quality outcomes

Familiarity with modern data stacks (Snowflake, Redshift, Databricks) and data testing principles

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Insurance

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