At a Glance
- Tasks: Build next-gen data platforms for high-performance racing across various motorsport series.
- Company: Join GM Motorsports, a leader in innovative automotive technology.
- Benefits: Enjoy competitive pay, hybrid work options, and career development opportunities.
- Other info: Collaborative environment with a focus on inclusion and belonging.
- Why this job: Make an impact in the fast-paced world of motorsports with cutting-edge data engineering.
- Qualifications: 5+ years in software development, proficient in Python/Java, and experience with cloud infrastructure.
The predicted salary is between 56700 - 69300 £ per year.
We are seeking a Senior Data Engineer to join our Motorsports Data Engineering team, building next-generation data platforms that power high-performance racing programs across Formula 1, NASCAR, IndyCar, IMSA, and beyond. This role is responsible for designing, building, and operating scalable, real-time and batch data pipelines that ingest high-frequency telemetry, simulation, wind tunnel, and trackside data into our enterprise data platform. You will work at the intersection of cloud architecture, streaming systems, and performance analytics — enabling engineers, strategists, and race teams to make faster, data-driven decisions. As a senior member of the team, you will own critical components of our Kafka/Flink streaming architecture, Databricks lakehouse implementations, and infrastructure-as-code deployments. You will collaborate cross-functionally with race engineering, software development, operations, and external technical partners to ensure resilient, secure, and high-performance data delivery across environments. This is a hands-on engineering role requiring deep technical expertise, architectural thinking, and a strong sense of ownership.
What You’ll Do
- Develop data pipelines using Python, Java, and SQL among other tools and technologies.
- Update existing software and/or develop new software solutions to address a specific need or solve a particular business problem.
- Contribute to development in accordance with appropriate methodologies and application of a repeatable, systematic, and quantifiable approach.
- Identify and remediate software issues related to code quality, security, patterns, frameworks, software usability, or end user related issues.
- Develop your skills by working closely with peers to ensure code alignment with design patterns and frameworks.
- Integrate with other applications and systems.
- Automate unit and end-to-end testing of software systems within their domain, focused on software quality and maintainability.
- Provide guidance and mentoring of fellow software developers.
- Performance tuning, usability assessment, performance improvement, documentation, and ensuring high technical standards are met.
- Proficiency in build/release automation solutions.
Your Skills & Abilities (Required Qualifications)
- Minimum 5 years of professional software development experience.
- Proficient in Python and or Java.
- Experience with event streaming/message broker technologies like Kafka, Event Hubs, or Confluent.
- Experience with AWS and/or Azure cloud infrastructure.
- Experience deploying, maintaining, supporting containerized applications using technologies like Docker/Kubernetes.
- Experience with SQL and NoSQL database technologies like Postgres, Mongo DB and Redis.
- Experience writing maintainable, testable, and reusable code.
- Experience with Agile development methodologies.
- Strong background in software development lifecycle.
- Experience with networking and client-server communication (REST, web sockets, gRPC, server-sent events).
- Delivering highly scalable, web-based systems, that can support high transaction volumes.
What Will Give You a Competitive Edge (Preferred Qualifications)
- Bachelor's degree in computer science or similar discipline.
- Self-starter and quick learner who understands and can adapt to existing software applications.
- Previous IT experience within motorsports.
- Experience working with streaming telemetry or timing-based metrics.
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week. This job may be eligible for relocation benefits.
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
Sr. Data Engineer - GM Motorsports employer: General Motors
At GM, we pride ourselves on being an exceptional employer, particularly within our innovative Motorsports Software team based in Ireland. Our collaborative work culture fosters inclusivity and belonging, while offering employees the chance to grow through mentorship and hands-on experience in a fast-paced environment that directly impacts the thrilling world of motorsports. With a commitment to meaningful change and a vision for a safer, more equitable future, joining GM means being part of a team that values your contributions and supports your professional development.
