Associate Data Engineer
Grove, England, United Kingdom
Williams Racing
Williams Racing is one of the world’s leading Formula 1 teams. It exists purely to race in the top echelon of motor racing.Company Description
For almost 50 years, Williams Racing has been at the forefront of one of the fastest sports on the planet, being one of the top three most successful teams in history competing in the FIA Formula 1 World Championship. With an almost unrivalled heritage of engineering and racing F1 cars and unforgettable eras that demonstrate it is a force to be reckoned with, the British squad boasts 16 F1 World Championship titles to its name.
Since its foundation in 1977 by the eminent, late Sir Frank Williams and engineering pioneer Sir Patrick Head, the team has won nine Constructors’ Championships, in association with Cosworth, Honda and Renault. Its roll call of drivers is legendary, with its seven Drivers’ Championship trophies being lifted by true icons of the sport: Alan Jones, Keke Rosberg, Nelson Piquet, Nigel Mansell, Alain Prost, Damon Hill and Jacques Villeneuve. The team has made history before and is out to make it again with a long-term mission to evolve and return to the front of the grid.
Job Description
We are seeking an ambitious Associate Data Engineer to join our Data & AI team at Atlassian Williams Racing. Working within our Technology & Innovation Group, our Data Team maintains a dynamic data strategy that adds value to the business while identifying opportunities for process improvement and competitive advantage.
Responsibilities and duties:
Collaborating on designing, implementing, and maintaining scalable data pipelines for optimal extraction, transformation, and loading (ETL) processes
Engaging with the Data & AI team to understand requirements and implement solutions to support business needs
Developing and optimising data modelling, data processing, and data storage systems, ensuring high performance, reliability, and security
Ensuring data quality, integrity, and compliance with relevant industry standards and best practices
Assisting in migrating data pipelines and data storage to the cloud and implementing cloud-based data solutions
Creating and maintaining data pipeline documentation, including data flow diagrams, technical specifications, and user guides
Experimenting new solution using technologies and tools to enhance your data engineering capabilities
Skills and experience required:
Degree level qualification in Data Engineering, AI, Computer Science or similar
Previous proven experience of working in an enterprise IT environment with exposure to data functions
Understanding of various data storage technologies, such as relational databases, NoSQL, and object storage technologies
Ability to articulate an understanding of data lifecycle principles, such as ingestion, storage, transformation, and data serving
Basic understanding of a programming language, such as Python, Java
Creative mindset in problem-solving skills and the ability to analyse data challenges and design solutions
Strong communication and interpersonal skills, with an aptitude for collaborating with diverse stakeholders
Additional Information
#LI-KW1
Atlassian Williams Racing is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data pipelines Data quality Data strategy Engineering ETL Java NoSQL Pipelines Python RDBMS Security
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