McLaren Racing is hiring a

Database Engineer

Woking, United Kingdom

At McLaren, our mission is to set the standard for high performance in sport. Everyone, in every part of the team, has a role to play. So if you want to test your ideas with the world watching... And measure your progress in milliseconds... And play your part in racing history... You belong here. High performance starts with you.


Purpose of the Role

We are looking for a database engineer who will help McLaren F1 build world championship data flows and applications. As a Database Engineer in McLaren F1, you will be an expert in one or more of the core technologies that we use to store, transform, and serve data to application clients, including SQL Server, MySQL, Postgres, and MongoDB, and will have practical experience of working with Kafka streaming infrastructure and Kubernetes. You will have experience of operating databases for scale and peak efficiency through tuning and optimization, will partner with platform engineering to ensure the highest standards of operational excellence for our database platforms including monitoring, alerting, and problem resolution, and will partner with engineering teams to design and implement data flows between systems.


Accountabilities and Responsibilities

  • 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.
  • Continuously monitor data systems and processes, identifying and implementing improvements to enhance efficiency, reduce latency, and support scaling efforts.
  • Be able to implement systems in line with best practices for HA and performance. Ensure compliance with data protection regulations and best practices to safeguard sensitive information.
  • Work with software engineering team members to evaluate various database technology options and choose the right solution to solve a problem.
  • Staying abreast of new developments, trends, and best practices in data management & engineering.
  • Communicate effectively with both technical and non-technical stakeholders to gather requirements, deliver updates, and translate complex data concepts into actionable insights.
  • Lead and collaborate on data engineering projects, from planning to execution and delivery. Ensure projects are completed on time, within scope, and meet the high-quality standards required by the team.
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