Data QA Engineer

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DATA QA ENGINEER
REMOTE
UP TO £60,000

This is an excellent opportunity for a Data QA Engineer to play a key role in shaping quality standards across a modern data platform. Joining a team delivering a large-scale data transformation programme, you will have the opportunity to influence testing strategy, drive best practice, and work closely with engineering teams in a highly collaborative environment.

ROLES AND RESPONSIBILITIES:
The Data QA Engineer will:

• Test data platforms, pipelines and associated data products
• Design and execute functional, integration and regression testing activities
• Develop testing strategies and supporting quality assurance best practices
• Work closely with Data Engineers and Analytics Engineers throughout delivery
• Identify, log, track and manage defects through to resolution
• Drive continuous improvement across testing processes, frameworks and standards
• Contribute to quality discussions and helping define effective testing approaches
• Work within a Databricks environment, collaborating on both testing and development activities
• Partner with engineering teams working extensively with PySpark
• Communicate effectively with technical and business stakeholders across the organisation

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

• Strong commercial experience within Quality Assurance, Software Testing or Data Testing environments
• Proven experience testing data platforms, data pipelines and complex technical solutions
• Hands-on experience with Databricks
• Strong knowledge of PySpark
• Strong SQL skills
• Experience using Python within testing or data-focused environments
• Ability to work independently and take ownership of testing activities
• Strong stakeholder management and communication skills
• Experience working within Agile delivery environments

Desirable experience:

• Exposure to CI/CD pipelines and automated deployment processes
• Experience with test automation frameworks
• Understanding of data quality principles and validation techniques
• Experience working within consulting or project-based delivery environments

APPLY BELOW!

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