Data QA Engineer

Data QA Engineer SAAS

Location | Workplace policy: Hybrid (London HQ)

Salary: £competitive + Great perks

Our client:

Our client is a super fast-growing SaaS Platform helping Fortune 500 companies with anything from new products, media campaigns, names, logos, packaging or flavours. It allows companies to shelve bad ideas and improve on good ones. They've received a HUGE Series D round ($100M+) and looking to scale up across the organisation.

In line with growth, they’re looking for a Data QA Engineer to be a vital part of their team's success. Use your Python skills (pytest) to build robust testing strategies that ensure products meet the highest standards and exceed customer expectations and then some!

Key tasks include:

• Advocate for shift-left testing.
• Develop automated test frameworks.
• Identify and track defects.
• Utilise data validation tools.
• Collaborate with teams.
• Contribute to QA methodologies.
• Analyse test results.
• Optimise testing processes.
• Provide support and guidance.
• Stay updated on testing trends.

Ideal applicant will possess:

• Strong understanding of software development and testing methodologies.
• Proficient in data analysis, SQL, and data governance.
• Experience with AWS, microservices, and continuous deployment.
• Skilled in test strategy development and execution.
• Focused on quality assurance and continuous improvement.
• Excellent communication and collaboration skills.
• Ability to work independently and proactively.

Next steps:

If you're interested in playing a key role within a growing SaaS company that is primed for big things in the coming years, please send your profile through and a member of our team will be sure to contact you with the full details of the role and client!