Aero Data Quality Specialist

Cadillac Formula 1 Team; Towcester; On-site; GBP 50,000 - 75,000; Full time

Job summary

The Cadillac Formula 1 Team is seeking an Aero Data Quality Engineer to validate and improve data integrity across wind tunnel, CFD and track environments. You will collaborate with aerodynamicists, engineers and data scientists to ensure precise, trustworthy data for performance decisions.

This senior role requires a strong aerodynamics background, data acquisition knowledge, and solid Python coding skills.

Qualifications

• A degree in aerodynamics or aeronautics is required.
• Experience in a similar role, ideally within motorsport.
• Strong analytical and problem-solving skills with keen attention to detail.
• Good knowledge of data acquisition methods in aerodynamic test environments.
• Proficient coding skills in Python or similar.
• Excellent interpersonal skills and ability to work with stakeholders.

Responsibilities

• Ensure the accuracy and reliability of aero performance data from wind tunnel tests, CFD, and on-track telemetry.
• Develop and implement data validation and quality control processes to maintain data integrity.
• Collaborate with aerodynamicists, engineers and data scientists to identify and resolve data quality issues.
• Conduct regular audits and reviews of data quality processes as part of the wider correlation project.
• Work closely with the Aero Performance group and other engineering groups.
• Provide flexible attendance and attitude to work in line with project requirements.

Skills

Analytical thinking

Interpersonal skills

Attention to detail

Problem-solving

Education

Aerodynamics/Aeronautics degree

Tools

Python

Job description

The Cadillac Formula 1 Team is seeking an Aero Data Quality Engineer to validate and improve data integrity across wind tunnel, CFD and track environments. You will collaborate with aerodynamicists, engineers and data scientists to ensure precise, trustworthy data for performance decisions.

This senior role requires a strong aerodynamics background, data acquisition knowledge, and solid Python coding skills.