Motorsports Senior Data Engineer
Motorsports Senior Data Engineer

Motorsports Senior Data Engineer

Northampton Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop and optimise data pipelines for motorsports and high-performance vehicles.
  • Company: Join GM, a leader in innovation with a vision for a safer, greener future.
  • Benefits: Enjoy competitive pay, relocation benefits, and a focus on your well-being.
  • Why this job: Be part of a dynamic team shaping the future of motorsports and technology.
  • Qualifications: Bachelor's degree in Computer Science or related field; 5+ years experience required.
  • Other info: Opportunity to work onsite in Concord, NC with a collaborative culture.

The predicted salary is between 43200 - 72000 £ per year.

Job Description

Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Concord, NC on a full-time basis.

The Role

We are seeking a highly skilled and motivated Senior Data Engineer to join the Aero Innovation team within the Motorsports Aerodynamic Department. Your primary responsibility will be to develop complex data pipelines and data-processing systems that enhance the productivity and capabilities of our aerodynamics development activities for both motorsport and high-performance production vehicles. As a member of our multi-disciplinary team, you will be at the forefront of designing, developing, and optimizing state-of-the-art solutions to tackle a variety of challenging technical obstacles. Your role is crucial and will significantly contribute to our competitiveness.

Joining the GM Motorsports Organization will provide you with the experience and exposure needed to thrive in a competitive environment. You will have the opportunity to showcase your talents, apply your conceptual knowledge and practical skills, drive innovation, and connect lessons learned in racing to production-intent vehicles. You will work cross-functionally with our partners and ultimately help shape the future of motorsports.

What You’ll Do

  • Architect, design, build, and maintain scalable and efficient data pipelines to process and transform large volumes of structured and unstructured data from multiple sources.

  • Work with data engineers and other teams to integrate data from various platforms and systems (e.g., on-prem and cloud databases, data lakes, APIs, third-party vendors).

  • Ensure the integrity, consistency, and quality of processed data through automated validation and monitoring processes.

  • Identify performance bottlenecks in data processing workflows and work on optimizing systems to ensure fast and reliable data processing.

  • Partner with cross-functional teams (Data Scientists, Product Managers, Engineers, Aerodynamicists etc.) to translate business requirements into efficient data solutions.

  • Write clean, maintainable, and well-documented code and ensure adherence to best practices in software engineering.

  • Prepare and present detailed technical reports, specifications, and presentations to stakeholders.

#LI-LP2

Additional Job Description

What You’ll Need (Required Qualifications)

  • Bachelor’s degree in Computer Science, Data Science, or a related field.

  • 5+ years of experience in an engineering industry, specializing in data engineering, data processing, or related fields.

  • Proficient in multiple programming languages such as Python, C++. Java.

  • Extensive experience with data processing tools and platforms such as Kafka, Flink, Databricks.

  • Skilled in managing distributed computing management systems, like SLURM, LSF.

  • Knowledgeable in both relational and non-relational databases (e.g., SQL, MongoDB).

  • Familiarity with cloud platforms (AWS, Azure).

  • Strong analytical and troubleshooting skills, with the ability to optimize complex data processing workflows.

  • Excellent interpersonal skills, capable of effectively collaborating with both technical and non-technical stakeholders.

  • This job may be eligible for relocation benefits.

What Will Give You A Competitive Edge (Preferred Qualifications)

  • Master’s degree in Computer Science, Data Science, or a related field

  • Experience within the motorsports industry

  • ·Proficiency in applying data governance, privacy, and security best practices

  • Experience with HPC architecture

  • Hands on experience with instrumentation and Data Acquisition systems

  • Skilled in developing Live Streaming data pipelines

  • Familiarity with aerodynamic testing and best practices

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. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources.

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 strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

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. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

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 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Motorsports Senior Data Engineer employer: General Motors

At GM, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to drive meaningful change in the motorsports industry. Located in Concord, NC, our team is dedicated to professional growth, offering extensive resources and support for career development while working on cutting-edge projects that shape the future of high-performance vehicles. With a commitment to diversity and inclusion, we ensure that every employee feels valued and has the opportunity to thrive in a dynamic environment.
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Contact Detail:

General Motors Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Motorsports Senior Data Engineer

✨Tip Number 1

Familiarise yourself with the latest trends and technologies in data engineering, especially those relevant to motorsports. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.

✨Tip Number 2

Network with professionals in the motorsports industry, particularly those working in data engineering roles. Attend industry events or join online forums to connect with potential colleagues and learn about their experiences.

✨Tip Number 3

Prepare to discuss specific projects where you've successfully developed data pipelines or optimised data processing systems. Be ready to explain your thought process and the impact of your work on previous teams or projects.

✨Tip Number 4

Showcase your passion for motorsports and how it relates to your technical skills. Whether it's through personal projects, volunteering, or simply being an avid fan, demonstrating your enthusiasm can set you apart from other candidates.

We think you need these skills to ace Motorsports Senior Data Engineer

Data Pipeline Development
Data Processing Systems
Programming in Python, C++, and Java
Experience with Kafka, Flink, and Databricks
Distributed Computing Management (SLURM, LSF)
Relational and Non-Relational Databases (SQL, MongoDB)
Cloud Platforms (AWS, Azure)
Data Quality Assurance
Performance Optimisation
Cross-Functional Collaboration
Technical Reporting and Presentation Skills
Analytical and Troubleshooting Skills
Software Engineering Best Practices
Instrumentation and Data Acquisition Systems
Live Streaming Data Pipelines

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data engineering and processing. Emphasise your proficiency in programming languages like Python, C++, and Java, as well as your familiarity with tools such as Kafka and Databricks.

Craft a Strong Cover Letter: In your cover letter, express your passion for motorsports and how your skills align with the role. Mention specific projects or experiences that demonstrate your ability to develop complex data pipelines and work cross-functionally.

Showcase Technical Skills: Include a section in your application that showcases your technical skills. Highlight your experience with cloud platforms, distributed computing management systems, and any relevant certifications that could set you apart from other candidates.

Prepare for Technical Questions: Anticipate technical questions related to data processing workflows and optimisation. Be ready to discuss your problem-solving approach and provide examples of how you've tackled performance bottlenecks in previous roles.

How to prepare for a job interview at General Motors

✨Showcase Your Technical Skills

Be prepared to discuss your experience with data processing tools and programming languages like Python, C++, and Java. Highlight specific projects where you've built scalable data pipelines or optimised data workflows, as this will demonstrate your technical expertise.

✨Understand the Motorsports Context

Familiarise yourself with the motorsports industry and its unique challenges. Be ready to discuss how your skills can contribute to aerodynamics development and how you can apply data solutions to enhance performance in racing and high-performance vehicles.

✨Prepare for Cross-Functional Collaboration

Since the role involves working with various teams, think of examples where you've successfully collaborated with non-technical stakeholders. Emphasise your interpersonal skills and ability to translate complex data concepts into understandable terms for different audiences.

✨Demonstrate Problem-Solving Abilities

Be ready to discuss specific instances where you've identified and resolved performance bottlenecks in data processing workflows. This will showcase your analytical skills and your proactive approach to optimising systems, which is crucial for the role.

Motorsports Senior Data Engineer
General Motors
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  • Motorsports Senior Data Engineer

    Northampton
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-08-10

  • G

    General Motors

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