Motorsports Senior Data Processing Engineer

JR United Kingdom; Maidstone; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is on the lookout for a Senior Data Processing Engineer to join their innovative Aero Innovation team. This role offers an exciting opportunity to develop complex data pipelines that enhance aerodynamics for motorsport and high-performance vehicles. You will work in a dynamic environment, collaborating with cross-functional teams to design and optimize solutions that drive competitiveness. If you're passionate about data engineering and eager to make a significant impact in the motorsports arena, this position is perfect for you.

Qualifications

• 5+ years of experience in data engineering or related fields.
• Proficiency in programming languages such as Python, C++, Java.

Responsibilities

• Architect and maintain scalable data pipelines for structured and unstructured data.
• Collaborate with teams to integrate data from various platforms.

Skills

Python

C++

Java

Data engineering

Analytical skills

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

Kafka

Flink

Databricks

SQL

MongoDB

AWS

Azure

SLURM

LSF

Job description

Job Description

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

The Role

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 that enhance the productivity and capabilities of our aerodynamics development activities for both motorsport and high-performance production vehicles. As part of our multidisciplinary team, you will design, develop, and optimize innovative solutions to address challenging technical obstacles, contributing significantly to our competitiveness.

Joining GM Motorsports will provide valuable experience and exposure to thrive in a competitive environment. You will have opportunities to showcase your talents, apply your skills, drive innovation, and connect lessons from racing to production vehicles. You will collaborate cross-functionally with partners and help shape the future of motorsports.

What You’ll Do

• Architect, design, build, and maintain scalable data pipelines to process large volumes of structured and unstructured data from multiple sources.
• Collaborate with data engineers and other teams to integrate data from various platforms and systems (e.g., on-premises and cloud databases, data lakes, APIs, third-party vendors).
• Ensure data integrity, consistency, and quality through automated validation and monitoring.
• Identify and resolve performance bottlenecks in data workflows to ensure fast, reliable processing.
• Partner with cross-functional teams to translate business requirements into efficient data solutions.
• Write clean, maintainable, and well-documented code following best practices.
• Prepare and present technical reports, specifications, and presentations to stakeholders.

What You’ll Need (Required Qualifications)

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• 5+ years of experience in data engineering, data processing, or related fields.
• Proficiency in programming languages such as Python, C++, Java.
• Experience with data processing tools/platforms like Kafka, Flink, Databricks.
• Knowledge of distributed computing management systems like SLURM, LSF.
• Experience with relational and non-relational databases (e.g., SQL, MongoDB).
• Familiarity with cloud platforms (AWS, Azure).
• Strong analytical and troubleshooting skills.
• Excellent interpersonal skills for collaboration with technical and non-technical stakeholders.

Note: This job may be eligible for relocation benefits.

Preferred Qualifications

• Master’s degree in Computer Science, Data Science, or related fields.
• Experience in motorsports industry.
• Knowledge of 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.