Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer - V8 Supercars

Team 18
Bolton
4 months 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!

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.