Harnham
Databricks QA Engineer
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Databricks QA Engineer
Remote (UK) | £50,000 - £60,000 + Benefits
Must have full UK working rights
Are you a Data QA Engineer with strong Databricks and PySpark experience looking for a role where you can make a genuine impact? This is an opportunity to join a growing data function at a pivotal stage of its data transformation journey, helping to shape testing standards, improve data quality practices, and ensure the successful delivery of a modern cloud-based data platform.
The Company
This organisation is investing heavily in its data capabilities and building a modern data platform to support business-wide decision making. They have a collaborative culture where data teams work closely with stakeholders across the business to deliver high-quality, reliable solutions. With significant projects underway, they are looking for an experienced Data QA Engineer who can bring expertise, ownership, and a proactive approach to quality assurance.
The Role
As a Data QA Engineer, you will play a key role in ensuring the quality, reliability, and performance of a cloud-based data platform and associated products.
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Responsibilities include:
- Designing, executing, and maintaining testing activities across data platforms and data products
- Performing functional, integration, regression, and data validation testing
- Working closely with Data Engineers, Analytics Engineers, and business stakeholders to identify risks and ensure robust solutions
- Developing testing strategies and helping define quality standards across the team
- Driving continuous improvement in testing processes, tools, and frameworks
- Managing defects through investigation, tracking, and resolution
- Working within a Databricks and PySpark environment, contributing to both testing and development activities
- Providing guidance and best practice recommendations around quality assurance and testing approaches
- Supporting the successful delivery of a large-scale data and analytics programme
Your Skills & Experience
You will bring:
- Strong commercial experience within Data QA, Software Testing, or Quality Engineering
- Experience testing data platforms, data pipelines, and complex technical solutions
- Hands-on experience with Databricks
- Strong PySpark, SQL, and Python skills
- Experience collaborating with both technical teams and business stakeholders
- Knowledge of testing methodologies, defect management, and quality assurance best practices
- Experience working within Agile delivery environments
- Exposure to CI/CD pipelines and modern data engineering practices would be advantageous
- Excellent communication skills with the confidence to challenge, influence, and drive improvements where required
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What They Offer
- £50,000 - £60,000 base salary
- Comprehensive benefits package
- Remote-first working model
- Flexible-by-choice working policy designed around work-life balance
- Opportunity to influence testing standards within a growing data team
- Exposure to modern technologies including Databricks, PySpark, SQL, and Python
- Career development within a business investing heavily in data and analytics
How to Apply
If you're a Data QA Engineer with Databricks, PySpark, SQL, and Python experience and are looking for a role where you can shape quality standards whilst working on a modern data platform, apply today.
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