We are seeking a QA Engineer with a strong background in data and analytics to help ensure the accuracy and reliability of both data pipelines and machine learning models. This role combines hands-on testing, automation, and close collaboration with engineering and data teams.

About the Role

You’ll take ownership of quality assurance for data pipelines; you’ll have a strong understanding of SQL to verify data consistency and accuracy. You’ll support with automated QA solutions for data pipelines and testing the outputs of ML models.

Responsibilities

• Design, develop, and execute comprehensive test plans and test cases for data pipelines and ML models.
• Implement and maintain automated testing frameworks for data and ML quality assurance.
• Perform thorough manual testing during initial development and complex feature releases.
• Collaborate closely with Data Engineers, Data Scientists, and Product Managers.
• Proactively identify, document, and track bugs and quality issues.
• Participate in code reviews and provide constructive feedback from a QA perspective.

What We’re Looking For

• 2+ years’ experience in QA, with a focus on data-driven products.
• Strong SQL skills and proficiency in Python.
• Understanding of data warehousing concepts.
• Familiarity with machine learning methodologies.
• Ability to collaborate with cross-functional teams.

The role is hybrid with travel to the London office.

If you have the desired skills and experience and would like to find out more, please apply to this advert by following the link below and attaching a copy of your most recent CV. If successful we will be in touch to discuss the role in more detail.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Quality Assurance

Industries

• Technology, Information and Media