Motorsports Senior Data Processing Engineer

JR United Kingdom; Wakefield; On-site; GBP 50,000 - 90,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Processing Engineer, where you will play a pivotal role in enhancing aerodynamics for motorsport and high-performance vehicles. Your expertise in developing complex data pipelines and processing systems will be crucial in tackling technical challenges and ensuring data integrity. With a collaborative environment and a focus on innovation, this position offers you the chance to contribute to groundbreaking projects. Enjoy a range of benefits, including flexible work arrangements, comprehensive health plans, and more, as you help shape a future with zero crashes and emissions.

Benefits

Paid Time Off

Comprehensive Health Plans

401K Matching

Tuition Assistance

Vehicle Discounts

Qualifications

• 5+ years in data engineering or related fields required.
• Proficiency in Python, C++, and Java essential.

Responsibilities

• Develop and maintain scalable data pipelines for large data volumes.
• Collaborate with teams to integrate data from various sources.

Skills

Python

C++

Java

Data Engineering

Data Analysis

Collaboration Skills

Education

Bachelor’s degree in Computer Science

Master’s degree in relevant fields

Tools

Kafka

Flink

Databricks

SQL

MongoDB

AWS

Azure

Job description

Motorsports Senior Data Processing Engineer, Wakefield

Client: General Motors

Location: Wakefield, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views:

3

Posted:

05.05.2025

Expiry Date:

19.06.2025

Job Description:

Role Overview: We are seeking a highly skilled and motivated Senior Data Processing 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 to enhance our aerodynamics development activities for motorsport and high-performance vehicles. You will be at the forefront of designing, developing, and optimizing solutions to tackle technical challenges, contributing significantly to our competitiveness.

Responsibilities:

1. Architect, design, build, and maintain scalable data pipelines for large volumes of structured and unstructured data.
2. Collaborate with data engineers and other teams to integrate data from various sources, including on-prem and cloud databases, data lakes, APIs, and third-party vendors.
3. Ensure data integrity, consistency, and quality through automated validation and monitoring.
4. Identify and optimize performance bottlenecks in data workflows.
5. Work with cross-functional teams to translate business requirements into data solutions.
6. Write clean, maintainable, and well-documented code following best practices.
7. Prepare and present technical reports and specifications to stakeholders.

Qualifications:

Required:

• Bachelor’s degree in Computer Science, Data Science, or related field.
• 5+ years in data engineering or related fields.
• Proficiency in Python, C++, Java.
• Experience with Kafka, Flink, Databricks.
• Knowledge of distributed computing systems like SLURM, LSF.
• Experience with relational and non-relational databases (SQL, MongoDB).
• Familiarity with cloud platforms (AWS, Azure).
• Strong analytical and troubleshooting skills.
• Excellent collaboration skills.

Preferred:

• Master’s degree in relevant fields.
• Experience in motorsports industry.
• Knowledge of data governance, HPC architecture, instrumentation, and Data Acquisition systems.
• Experience developing Live Streaming data pipelines.
• Familiarity with aerodynamic testing.

About GM & Benefits:

Our vision is a world with Zero Crashes, Zero Emissions, and Zero Congestion. We foster an inclusive culture supporting flexible work arrangements. Benefits include paid time off, comprehensive health plans, 401K matching, recognition programs, tuition assistance, and vehicle discounts.

Equal Opportunity:

GM is committed to diversity and inclusion, providing a workplace free of discrimination. We encourage all qualified candidates to apply. For accommodations, contact us at [email protected] or call 800-865-7580.