At a Glance
- Tasks: Design and implement high-performance data infrastructure for a leading F1 team.
- Company: Join Williams Racing, a legendary name in Formula 1 with a rich engineering heritage.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Mentorship opportunities and a dynamic work environment await you.
- Why this job: Be part of a transformative journey in motorsport, driving innovation through data.
- Qualifications: Experience in data engineering, cloud platforms, and strong programming skills required.
The predicted salary is between 48000 - 72000 € per year.
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.
Senior Data Engineer in Canterbury employer: Williams Racing
Williams Racing is an exceptional employer, offering a dynamic work environment at the cutting edge of motorsport technology. With a strong commitment to innovation and performance, employees benefit from a culture that fosters collaboration, mentorship, and continuous learning, particularly in the fast-paced world of Formula 1. The opportunity to work alongside industry leaders and contribute to groundbreaking projects makes this role not just a job, but a chance to be part of a legacy in one of the most thrilling sports on the planet.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Canterbury
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Williams Racing on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data engineering expertise. We love seeing real-world applications of your work, especially if it relates to cloud-native data pipelines.
✨Tip Number 3
Ace the interview by being ready to discuss your past projects in detail. We want to hear how you tackled challenges and what technologies you used. Be specific about your experience with tools like Apache Airflow or AWS.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Williams Racing team.
We think you need these skills to ace Senior Data Engineer in Canterbury
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data pipelines, cloud platforms, and any relevant technologies mentioned in the job description. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our mission at Williams Racing. Don't forget to mention any specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills:In your application, be sure to highlight your technical skills, especially those related to cloud data platforms and data processing tools. We love seeing hands-on experience, so include any relevant projects or roles where you've used these technologies.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Williams Racing
✨Know Your Data Tools
Make sure you’re well-versed in the tools and technologies mentioned in the job description, like Apache Airflow, AWS, and SQL. Brush up on your knowledge of data pipelines and ETL/ELT workflows, as you might be asked to discuss your hands-on experience with these during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Williams Racing is looking for someone who can bridge technical expertise with business context, so think about examples where your solutions had a tangible impact on performance or innovation.
✨Emphasise Mentorship Experience
Since this role involves mentoring junior engineers, be ready to share your experiences in guiding others. Highlight any initiatives you've taken to foster a culture of continuous improvement and high-performance engineering within your teams.
✨Understand the Company’s Vision
Familiarise yourself with Williams Racing's history and their mission to return to the front of the grid. Being able to articulate how your skills and experiences align with their goals will show that you're not just a fit for the role, but also for the company culture.
