Are you passionate about data integrity and engineering excellence? Join our dynamic team as a Data Quality Engineer and play a key role in ensuring the accuracy, consistency, and reliability of data across our physical test environments.

🔍 Job Opportunity: Data Quality Engineer

📍 Location: Whitley, Coventry

📅 Contract: Until March 2026 (with potential extension)

Key Responsibilities:

Oversee data acquisition, validation, pipeline development, storage, and visualisation.
Conduct data quality reviews to support programme targets and validate technologies.
Develop and maintain in-house data tools, calculations, and parameterisation processes.
Ensure test facilities deliver repeatable and regulation-compliant measurements.
Lead correlation exercises across test operations and facilities.
Continuously improve measurement quality through equipment and method reviews.
Analyse test results and initiate corrective actions where necessary.
Collaborate on projects to enhance test bed consistency and repeatability.
Support team KPIs and recommend improvements to enhance data quality.
Research and implement best practices in data quality and test field efficiency.
Mentor and coach team members in data validation and management techniques.

Skills & Experience:

Essential:

Degree in natural science, mathematics, engineering, or computing.
Proficiency in programming (preferably Python).
Experience with cloud platforms (AWS, Google Cloud) for data systems and pipelines.
Strong data analysis skills including hypothesis testing and uncertainty analysis.
Ability to influence engineering decisions through data insights.
Familiarity with physical measurement equipment and KPI development.
Excellent written and verbal communication skills.

Desirable:

Academic thesis or project in a relevant field.
Six Sigma Green Belt certification.
Knowledge of engineering and legislative measurement techniques.
Experience in measurement science and equipment sensitivity.

Personal Attributes:

Essential:

Strong documentation and reporting skills.
Collaborative and team-oriented mindset.
Eagerness to learn and adapt to new technologies.
Problem-solving focus with attention to quality and timelines.

Desirable:

Proactive and responsible attitude.
Methodical and calm under pressure.
Strong interpersonal and communication skills.

Apply now and help shape the future of data quality in engineering excellence.

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