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- Tasks: Build next-gen data platforms for high-performance racing across various motorsport series.
- Company: Join GM, a leader in innovation and sustainability in the automotive industry.
- Benefits: Enjoy competitive pay, hybrid work options, and a focus on your well-being.
- Why this job: Make an impact in motorsports by enabling data-driven decisions for racing teams.
- Qualifications: 5+ years in software development with skills in Python, Java, and cloud technologies.
- Other info: Collaborative environment with opportunities for growth and mentorship.
The predicted salary is between 60000 - 80000 £ 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.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future.
About GM: Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
Non-Discrimination and Equal Employment Opportunities (U.S.)
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 encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580.
Senior Data Engineer - GM Motorsports in Concord employer: General Motors
Contact Detail:
General Motors Recruiting Team
Careers.Accommodations@GM.com
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - GM Motorsports in Concord
✨Tip Number 1
Network like a pro! Reach out to folks in the motorsports industry on LinkedIn or at events. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python, Java, or cloud technologies. This gives you a chance to shine beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss your past experiences in detail.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the GM team.
We think you need these skills to ace Senior Data Engineer - GM Motorsports in Concord
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Engineer role. Highlight your experience with Python, Java, and any relevant data pipeline projects you've worked on. We want to see how your skills align with what we're looking for!
Show Off Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention your experience with Kafka, AWS, or Azure, and any hands-on projects that demonstrate your ability to build scalable data solutions. This is your chance to shine!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a well-structured application!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at General Motors
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Java, and SQL. Brush up on your experience with Kafka, AWS, and containerisation tools like Docker and Kubernetes. Being able to discuss your hands-on experience with these tools will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples of how you've tackled complex data engineering challenges in the past. Think about times when you had to design scalable data pipelines or improve performance. This will demonstrate your ability to think critically and apply your skills effectively in real-world scenarios.
✨Understand the Motorsports Context
Since this role is within the motorsports sector, it’s beneficial to have a grasp of how data impacts racing strategies and performance. Familiarise yourself with terms and concepts related to telemetry and timing metrics. Showing genuine interest in the industry can set you apart from other candidates.
✨Prepare for Collaboration Questions
As a senior member of the team, you’ll need to work cross-functionally. Be ready to discuss your experience collaborating with engineers, software developers, and external partners. Highlight instances where your teamwork led to successful project outcomes, as this will illustrate your ability to contribute positively to the team dynamic.