Motorsports Senior Data Processing Engineer

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

Job summary

An established industry player is seeking a Senior Data Processing Engineer to join their innovative Aero Innovation team. This role involves developing complex data pipelines and systems that enhance aerodynamics for motorsport and high-performance vehicles. You'll work in a dynamic environment, collaborating with cross-functional teams to translate business requirements into efficient data solutions. This position offers a unique opportunity to drive innovation in motorsports while leveraging your technical skills. If you're passionate about data engineering and eager to make an impact, this is the perfect role for you.

Benefits

Relocation benefits

Qualifications

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

Responsibilities

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

Skills

Python

C++

Java

Data Engineering

Analytical Skills

Troubleshooting

Education

Bachelor's degree in Computer Science

Master's degree in relevant fields

Tools

Kafka

Flink

Databricks

SQL

MongoDB

AWS

Azure

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 our aerodynamics development activities for motorsport and high-performance production vehicles. As part of our multidisciplinary team, you will design, develop, and optimize cutting-edge solutions to address technical challenges, contributing significantly to our competitiveness.

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

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or related field.
• 5+ years of experience in data engineering 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 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 interpersonal skills for collaboration with technical and non-technical stakeholders.

Relocation benefits may be available.

Preferred Qualifications

• Master’s degree in relevant fields.
• Experience in the motorsports industry.
• Knowledge of data governance, privacy, and security practices.
• Experience with HPC architecture and Data Acquisition systems.
• Hands-on experience with live streaming data pipelines.
• Understanding of aerodynamic testing.