At
McLaren Racing, we believe only by chasing performance in everything we do can
we give ourselves the best chance of success. Performance on track and in
the factory. Performance for our people, our business and our
partners. It’s about more than winning. It’s about hitting the
highest standards, and then raising the bar again.
McLaren Advanced Projects
McLaren Advanced Projects (MAP) is a multidisciplinary engineering unit that works on many of the most ambitious technical challenges at McLaren Racing. MAP is designed to innovate and unlock performance across various racing series operating worldwide.
But racing is just the start. McLaren Advanced Projects also collaborates with McLaren Automotive on hypercars and supercars and undertakes projects on a wide range of scientific and engineering projects for our partners.
Within McLaren Advanced Projects, we assemble integrated teams to work across the full development process from concept to release, drawing on 60 years of continuous development in F1 and beyond. Team members bring a wide range of skills to bear on our projects, from aerodynamics and computational fluid dynamics to lightweight structures and composites, data science and advanced simulations.
Purpose of the Role
The purpose of this role is to define and deliver the data architecture, infrastructure, and services required to help the engineering team operate more effectively and efficiently. You will work closely with McLaren software delivery teams on all elements of the data lifecycle, from collection and storage to analysis and reporting. By optimizing data flows and developing robust data infrastructure, you will empower our engineering team with real-time insights and actionable intelligence, enabling them to optimise their workflows and make informed decisions swiftly. Your expertise will be pivotal in harnessing the power of data to drive innovation, performance, and competitive advantage.
Accountabilities and Responsibilities
- Develop and maintain scalable, efficient, and flexible data architectures to meet current and future needs of the engineering team, ensuring optimal performance and reliability for streaming, transaction processing, and data warehousing/lakes.
- Design and optimise data processing pipelines for real-time analysis, enabling quick and effective decision-making. Implement tools and platforms for advanced data analysis, visualization, and reporting.
- Provide technical guidance on best practice in data engineering and architecture, staying abreast of the latest trends, technologies, and techniques. You will mentor and support team members in data-related tasks and projects.
- Work closely with engineering and other departments to understand their data needs and challenges. Develop solutions that enhance data accessibility and usability across the team.
- Continuously monitor data systems and processes, identifying and implementing improvements to enhance efficiency, reduce latency, and support scaling efforts.
- Research and evaluate emerging data technologies, tools, and methodologies. Lead the adoption of innovative solutions that can provide a competitive edge through superior data insights.
- Develop and maintain robust disaster recovery plans and backup systems. Ensure compliance with data protection regulations and best practices to safeguard sensitive information.
- Communicate effectively with both technical and non-technical stakeholders to gather requirements, deliver updates, and translate complex data concepts into actionable insights.
- Lead data engineering projects, from planning and budgeting to execution and delivery. Ensure projects are completed on time, within scope, and meet the high-quality standards required by the team.