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Motorsports Senior Data Engineer

JR United Kingdom

Reading

On-site

GBP 65,000 - 85,000

Full time

3 days ago
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Job summary

A major automotive corporation is seeking a Senior Data Engineer to join their Motorsports Aerodynamics Department in Reading, UK. The successful candidate will develop and optimize data processing systems and work cross-functionally to enhance competitive capabilities in motorsports. A bachelor's degree and over 5 years of experience in data engineering are required. Hands-on skills in Python, Kafka, and cloud platforms are preferred.

Qualifications

  • 5+ years of experience in an engineering industry.
  • Extensive experience with data processing tools.
  • Strong analytical and troubleshooting skills.

Responsibilities

  • Develop complex data pipelines and data-processing systems.
  • Integrate data from various platforms and systems.
  • Ensure the integrity and quality of processed data.

Skills

Data engineering
Data processing
Python
C++
Java
Kafka
Flink
Databricks
SQL
MongoDB

Education

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

Tools

Kafka
Flink
Databricks
AWS
Azure
SLURM
LSF

Job description

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Motorsports Senior Data Engineer, reading

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Client:

General Motors

Location:

reading, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Views:

5

Posted:

04.08.2025

Expiry Date:

18.09.2025

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Job Description:

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 ahighly skilled and motivated Senior Data Engineerto join theAero Innovation teamwithin theMotorsports 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 theGM Motorsports Organizationwill 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

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