Motorsports Senior Data Processing Engineer

JR United Kingdom; Basingstoke; 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. In this pivotal role, you will design and develop complex data pipelines that enhance the capabilities of motorsport and high-performance production vehicles. Collaborating with a multidisciplinary team, you will tackle challenging technical obstacles while ensuring data integrity and quality. This position offers a unique opportunity to drive innovation and contribute to the future of motorsports, making a significant impact in a dynamic environment. If you're passionate about data engineering and eager to showcase your skills, this role is perfect for you.

Qualifications

• 5+ years of experience in data engineering or processing.
• Proficiency in programming languages such as Python, C++, and Java.
• Experience with data processing tools like Kafka and Databricks.

Responsibilities

• Architect and maintain scalable data pipelines for large data volumes.
• Collaborate with teams to integrate data from various platforms.
• Ensure data integrity and optimize processing workflows.

Skills

Python

C++

Java

Data Engineering

Analytical Skills

Collaboration Skills

Education

Bachelor’s degree in Computer Science

Master’s degree in Computer Science

Tools

Kafka

Flink

Databricks

AWS

Azure

SQL

MongoDB

SLURM

LSF

Job description

Job Description

Onsite: This role is categorized as onsite. 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 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 state-of-the-art solutions to tackle challenging technical obstacles. Your role is crucial and will significantly contribute to our competitiveness.

Joining the GM Motorsports Organization will provide you with valuable experience and exposure. You will have the opportunity to showcase your talents, apply your knowledge and skills, drive innovation, and connect lessons learned in 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 and efficient 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 (e.g., on-prem and cloud databases, data lakes, APIs, third-party vendors).
• Ensure data integrity, consistency, and quality through automated validation and monitoring.
• Identify performance bottlenecks and optimize data processing workflows for speed and reliability.
• Partner with cross-functional teams to translate business requirements into data solutions.
• Write clean, maintainable, and well-documented code following best practices.
• Prepare and present technical reports, specifications, and presentations to stakeholders.

Additional Job Description

What You’ll Need (Required Qualifications)

• Bachelor’s degree in Computer Science, Data Science, or related field.
• 5+ years of experience in data engineering, 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.
• Familiarity with relational and non-relational databases (SQL, MongoDB).
• Experience with cloud platforms (AWS, Azure).
• Strong analytical and troubleshooting skills.
• Effective collaboration skills with technical and non-technical stakeholders.

Preferred Qualifications

• Master’s degree in Computer Science, Data Science, or related field.
• Experience in the motorsports industry.
• Knowledge of data governance, privacy, and security best practices.
• Experience with HPC architecture and Data Acquisition systems.
• Skills in developing Live Streaming data pipelines.
• Familiarity with aerodynamic testing and practices.