Data Engineer
Summary
Data engineer joining a global quant firm's sports trading team in its London (Shoreditch) office. Day to day: building and maintaining the sports trading data platform — ETL pipelines, the data backbone, and improvements to reliability, efficiency and data quality — using Python on Linux with large datasets, alongside traders and quants.
Leading global quant firm is looking for a pragmatic data engineer with experience of ETL pipelines to join the quantitative sports trading team. Despite serving as the hub for managing the substantial operations across the UK, Europe and the Middle East, the London office couples the lively, positive environment of a start-up with the stability of a longer-established player.
Collaborating extensively with technologists and quantitative analysts, you will be responsible for evolving, improving and maintaining all aspects of the sports trading data platform, covering everything from building a world-class data backbone and creating and maintaining ETL pipelines, to identifying ways to improve reliability, efficiency and data quality.
Technology is prized by the traders as crucial to their continued success. The successful Data Engineer will be passionate about solving difficult technical problems in a fast-paced and energetic environment.
If you’re a driven, dynamic individual with an unvarying focus on staying ahead of the ever-changing markets, this role would be perfect for you!
Requirements
- Significant experience with Python and development in a Linux environment
- Experience of working with large datasets
- Deep knowledge of the DMBS landscape
- Experience of building and maintaining ETL pipelines
- Competitive base salary & bonus
- Enormous opportunity to grow and have an impact
- Contributions are rewarded; career progression supported
- Free breakfast, lunch and dinner
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.