Data Engineer - V8 Supercars

Team 18
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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!

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Jobs

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Jobs

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

🍪 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.