The Data Engineering team is responsible for a fundamental data system processing 50+ billion rows of data per day and feeding directly into trading decisions. The Data Engineer will be designing, implementing and maintaining this system, keeping it reliable, resilient, and low-latency.

We are looking for a highly technical engineer who is highly technical, with strong experience working in MPP platforms and/or Spark, “big data” (e.g., weather forecasts, AIS pings, satellite imagery, …), and developing resilient and reliable data pipelines. You will be responsible for data pipelines end to end: acquisition, loading, transformation, implementing business rules/analytics, and delivery to the end user (trading desks / data science / AI).

You will partner closely with business stakeholders and engineering teams to understand their data requirements and deliver the necessary data infrastructure to support their activities. Given our scal...