Data Engineer

Oxford Knight

Greater London

On-site

GBP 60,000 - 90,000

Full time

45 hours ago
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Benefits offered by this job

Competitive base salary & bonus
Enormous opportunity to grow and have/
Contributions are rewarded; career
Free breakfast, lunch and dinner

Job summary

Oxford Knight is seeking a pragmatic Data Engineer to build and maintain the sports trading data platform, collaborating with technologists and quantitative analysts to evolve the data backbone and ETL pipelines.

You will work with large datasets, optimizing reliability and data quality in a fast-paced environment alongside a high-performance team in London.

Qualifications

  • Significant experience with Python in Linux environments.
  • Experience working with large datasets.
  • Deep knowledge of the DMBS landscape.
  • Experience building and maintaining ETL pipelines.

Responsibilities

  • Evolve, improve and maintain the sports trading data platform.
  • Build and maintain a world-class data backbone and ETL pipelines.
  • Identify ways to improve reliability, efficiency and data quality.
  • Collaborate with technologists and quantitative analysts.

Skills

Python
Linux
Large datasets
DMBS landscape
ETL pipelines

Job description

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

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