Data Engineer - V8 Supercars

Team 18
London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer (Talend & Oracle RDS) - SC Eligible

About Team 18


Team 18 competes in the Repco Supercars Championship, Australia’s premier motorsport category. We’re a performance-driven team focused on technical innovation, strategic racing, and continuous improvement both on and off the track. We are looking for a passionate and technically capableData Engineerto join our engineering group to help drive performance through data.


Position Overview


As a Data Engineer, you will play a key role in acquiring, managing, and analyzing large volumes of motorsport and telemetry data to provide actionable insights that enhance car performance, reliability, and race strategy. Working closely with race engineers, performance analysts, and the broader technical team, you’ll support data systems during race weekends and continuously improve processes through automation and advanced analytics.


Key Responsibilities


  • Develop, maintain, and optimize data pipelines for telemetry, video, and sensor data from Supercars.
  • Build and manage databases and data storage systems for performance analysis.
  • Support live data acquisition and processing during race events and test sessions.
  • Collaborate with engineers to develop custom tools for data simulation, visualization and real-time analysis.
  • Ensure data integrity, version control, and accessibility for all stakeholders.
  • Automate reporting for post-session and post-race analysis.
  • Assist in the integration of third-party data sources (e.g. MoTeC, etc).
  • Drive innovation in the use of machine learning or predictive models to enhance performance decision-making.
  • Provide trackside support as required across the race calendar, requiring regular interstate travel

Qualifications


  • Bachelor’s degree in Engineering, Computer Science, Motorsport Engineering, or related field.
  • Highly proficient and experienced working with telemetry systems, preferably MoTeC or similar.
  • Strong proficiency in Python, SQL, and data analysis libraries (Pandas, NumPy, etc.).
  • Familiarity with data visualisation tools (e.g. Plotly, Power BI, MATLAB, or custom dashboards).
  • Understanding of motorsport operations and vehicle dynamics is a strong advantage.
  • Experience with version control (Git) and data management best practices.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work under pressure and thrive in a high-performance team environment.
  • Willingness to travel to events, tests, and workshops as required.

Preferred Requirements


  • Experience in motorsport field
  • Experience with cloud services (AWS, Azure) or containerized environments (Docker).
  • Background in machine learning or predictive modelling for motorsport or automotive applications.
  • Previous experience working within a Supercars team or similar motorsport environment.

What We Offer


  • Competitive salary and benefits package
  • A collaborative and innovative work culture.
  • A dynamic, competitive, and fast-paced engineering environment.
  • Opportunities for growth in motorsport and cutting-edge racing technology.
  • Access to state-of-the-art tools, data systems, and race support infrastructure.

How to Apply:


If you have the skills, passion, and drive to be part of a winning team, we want to hear from you! Please submit your resume, portfolio (if available), and a brief cover letter explaining why youre the perfect fit forTeam 18.


Team 18 Supercar Team is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


Join us and be part of a team that’s built for speed, precision, and excellence!

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.