Graduate Vehicle Performance Data Engineer

Workable
Towcester
10 months ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst

Quantitative Analyst

Data Analyst Training Course (Excel, SQL & Power BI)

Data Governance & Enablement Manager

Senior Data Analyst

Location: Silverstone, UK

Department: Vehicle Performance

Reports to: Head of Performance Analysis

Start Date: July/August 2025

Cadillac Formula 1™ is excited to be on the grid for the 2026 FIA Formula One™ World Championship. Our new team is gearing up for rapid growth. To achieve our goals, we need to create and sustain a high-performance culture in every area. We have ambitious plans to build an outstanding operation that can compete at the highest level. 

From exceptional Engineering and Design talent to a world-class race team, supported by specialists in off-track roles - we are assembling the expertise needed to drive this operation forward and compete at the highest level. 

Being a part of this team, will accelerate your career. Take a closer look at the role: 

Job Description:

We are now seeking an ambitious and talented Graduate Vehicle Performance Data Engineer to join our Vehicle Performance group. This is a unique opportunity to contribute directly to the performance of a new and competitive F1 entry.

As a Graduate Vehicle Performance Data Engineer in our Vehicle Performance Group, you will be responsible for supporting data handling, processing, and analysis for the race car and simulation toolset. You will work alongside experienced performance engineers, to ensure data availability and quality to optimise the car performance.

This role is ideal for someone with a strong technical foundation in software development and data analysis, with a passion for motorsport and competitive engineering challenges.

What you will be doing:

·         Develop and maintain data pipelines for a variety of simulation tools.

·         Work on data architecture, collaborating across the Aero, Race Eng, and Strategy departments to communicate quality and reliability metrics.

·         Produce and maintain dashboards and data connectors in commercial and in-house tools.

·         Research AI solutions for performance and analysis purposes.

·         Create other simulation/processing tooling as needed.

·         Undertake factory-based race event support.

Requirements

·         A degree in Computer Science, Maths, Physics, or a related field.

·         Demonstrable experience with a programming language (Python, MatLab, C#, or similar).

·         An understanding of databases and associated processes (SQL, Kafka, PySpark).

·         Knowledge of Git, Docker, DevOps and CI/CD processes.

·         Experience identifying requirements from other teams, and working independently.

·         Willingness and enthusiasm to learn as part of a high-paced team.

Desirable (Not Essential)

·         An understanding of statistics and data quality control

·         Knowledge of data lakes and cloud computing

·         An eye for data visualisation and accessibility

Why Join Us?

·         Be part of an ambitious, ground-up F1 project.

·         Work in a high-performance, collaborative environment.

·         Exposure to world-class engineering challenges and rapid career growth.

·         Competitive salary and graduate development program.

Please note that additional security checks may be required as part of the recruitment process. This may include a background check covering a minimum of the past five years and a criminal record check. 

This job description reflects the major tasks to be carried out by the postholder and identifies the level of responsibility at which the postholder will be required to work. Subject to the discretion of the Company, the postholder will carry out the duties specified above together with such other duties or tasks for the Company as reasonably required. You may also be required to perform additional duties for the Company from time to time commensurate with your skills and experience. 

Please be aware that we will be reviewing applicants on a rolling basis and this job posting will close once a suitable candidate is identified. We encourage all interested individuals to submit their application as soon as possible.  As an equal opportunities employer, we are committed to the equal treatment of all current and prospective employees and does not condone discrimination on the basis of age, disability, sex, sexual orientation, pregnancy or maternity, race or ethnicity, religion or belief, gender identity or marriage and civil partnership. We aspire to have a diverse and inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply.


Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.