Senior Data Engineer

Williams Racing; Canterbury; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading motorsport team is seeking a Senior Data Engineer to design and implement scalable data infrastructures. This role involves leading cloud-native data pipeline optimizations and collaborating across teams. Ideal candidates should have a degree in Computer Science or Engineering and hands-on experience with data engineering, cloud platforms, and data quality practices.

Qualifications

• Hands-on experience in data engineering or software engineering.
• Proven expertise in building and maintaining data pipelines.
• Good understanding of data warehousing and modern architectures.

Responsibilities

• Lead design and optimization of cloud-native data pipelines.
• Evaluate and implement best-in-class technologies for data handling.
• Drive cloud migration efforts and deployment of scalable services.

Skills

Data pipelines

ETL/ELT workflows

Python

Cloud data platforms (AWS, Azure, GCP)

SQL and NoSQL databases

Education

Bachelor's or Master's degree in Computer Science or Engineering

Tools

Apache Airflow

Terraform

Docker

Kubernetes

Job description

Company

Williams Racing has been at the forefront of one of the fastest sports on the planet for almost 50 years, competing in the FIA Formula 1 World Championship. The British squad boasts 16 F1 World Championship titles and an engineering heritage that underpins its continued presence at the front of the grid.

Founded in 1977 by the late Sir Frank Williams and Sir Patrick Head, the team has won nine Constructors' Championships and an iconic list of drivers. Williams Racing aims to evolve and return to the front, with a long-term mission to drive performance and innovation.

Job Description

We are looking for a Senior Data Engineer to join our Technology & Innovation Group. You will design, implement, and evolve scalable, secure, and high-performance data infrastructure and pipelines, while contributing to the strategic direction of our data architecture. This role bridges deep technical expertise with business context to ensure the data engineering layer supports performance, operations, and innovation across the organisation. As we scale the data platform, you will mentor junior engineers, influence architectural decisions, and help integrate new technologies that support Williams’ broader transformation journey.

Main duties

• Lead the design, development, and optimisation of modern, cloud-native data pipelines and infrastructure to support large-scale, high-value data workloads across the organisation.
• Work closely with Data Architects and the Head of Data & AI to support the development and implementation of our Data Strategy and the build-out of our data platform.
• Evaluate and implement best-in-class technologies, frameworks, and tools for ingestion, processing, governance, observability, and storage of structured and unstructured data.
• Collaborate across business and technical teams to identify requirements, develop solutions, and ensure that data products support analytics, AI/ML, and operational reporting use cases.
• Champion data quality, observability, lineage, and metadata management to ensure data is trusted, discoverable, and reliable.
• Drive cloud migration efforts, including deployment of scalable services in AWS (or other cloud environments), infrastructure as code, and automation of data operations.
• Provide guidance and mentorship to other engineers, helping grow a culture of high-performance engineering and continuous improvement.
• Create and maintain robust documentation of pipelines, architecture, and best practices to ensure sustainability and knowledge sharing.

Skills and experience required

• Bachelor\'s or Master\'s degree in Computer Science, Engineering, or a related field.
• Previous, proven, hands-on experience in data engineering or software engineering with strong exposure to modern data platforms.
• Proven expertise in building and maintaining data pipelines and ETL/ELT workflows using tools like Apache Airflow, dbt, or custom frameworks.
• Strong experience with cloud data platforms (e.g., AWS, Azure, GCP) and distributed data systems (Spark, Kafka, or Flink, etc).
• Proficiency in Python (or similar languages) with solid software engineering fundamentals (testing, modularity, version control).
• Hands-on experience with SQL and NoSQL data stores, such as PostgreSQL, Redshift, DynamoDB, or MongoDB.
• Good understanding of data warehousing and modern architectures (e.g., data lakehouse, data mesh).
• Familiarity with DevOps/CI-CD practices, infrastructure-as-code (Terraform, CloudFormation), and containerisation (Docker/Kubernetes).
• Understanding of data quality, observability, lineage, and metadata management practices.

Desirable

• Experience with event-driven architectures and real-time data processing.
• Prior exposure to data governance, cataloguing, and security frameworks (e.g., IAM, encryption, GDPR).
• Experience in a fast-paced environment such as automotive, motorsport, or high-performance computing.
• A track record of mentoring junior engineers and contributing to engineering culture and team standards.

Qualifications

Additional Information

Atlassian Williams Racing is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments.