Quality Assurance Engineer (Data Platform)

ZipRecruiter; London; Remote; GBP 50,000 - 75,000; Full time

Job summary

A leading insurance technology client is looking for a QA Engineer with strong data expertise in London. The successful candidate will play a crucial role in ensuring the quality of data products through robust testing frameworks and collaboration with cross-functional teams.

Qualifications

• 5+ years of experience in software testing with a focus on data quality.
• Advanced proficiency in SQL and relational database systems.
• Programming experience in Python, JavaScript, or similar.

Responsibilities

• Define and execute test strategies for data pipelines.
• Collaborate with engineers to validate requirements.
• Design and maintain automated tests for quality assurance.

Skills

Data Quality

Analytical Skills

Problem Solving

Job description

Job Description

The Company

Founded 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 Role

We’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 & 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
• Programming experience in one or more of the following: Python, JavaScript, TypeScript, Bash/Shell
• 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