Harnham
Data QA Engineer

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Data QA Engineer
£50,000 - £60,000
Remote (UK-Based Only)
This is an opportunity to join a growing data function delivering a large-scale Lakehouse programme, where quality, reliability and continuous improvement are central to success. You will play a key role in shaping testing standards, influencing best practice and ensuring critical data products are robust, dependable and ready for business use.
THE COMPANY
They are a well-established UK organisation investing heavily in their data and analytics capabilities. With a modern cloud-based data platform and an ambitious roadmap, they are continuing to build scalable, high-quality data products that support decision-making across the business.
The data team combines engineering, analytics and quality assurance expertise, working collaboratively to deliver impactful solutions. They offer a flexible, people-focused culture with a strong emphasis on work-life balance, autonomy and professional development.
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StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
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THE ROLE
As a Data QA Engineer you will be responsible for testing the data platform and associated data products while helping to drive quality standards across the wider team.
Specifically, you can expect to be involved in the following:
- Planning, designing and executing testing activities across data platforms, pipelines and products
- Performing functional, integration and regression testing to ensure reliable releases
- Working closely with Data Engineers, Analytics Engineers and business stakeholders to identify risks and validate solutions
- Logging, tracking and managing defects through to resolution
- Contributing to testing strategies, quality frameworks and continuous improvement initiatives
- Supporting testing activities within Databricks and PySpark environments


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SKILLS AND EXPERIENCE
The successful Data QA Engineer will have the following skills and experience:
- Experience in a Data QA, Software Testing or Quality Assurance role
- Strong experience testing data platforms, pipelines and data products
- Hands-on experience with Databricks, SQL, Python and PySpark
- Strong stakeholder communication and collaboration skills
- Able to work independently and take ownership of testing activities and quality standards
BENEFITS
The successful Data QA Engineer will receive the following benefits:
- Salary between £50,000 - £60,000 - depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
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