Senior Data Engineer - Credit Technology
Global Multi-Strat Hedge Fund | London
I am partnered with one of the most successful multi-strat funds globally. This team operates on a fully centralized, in-house platform across all trading, pricing, and risk systems.
The Head of Quant Research is looking for Data Engineers to build next-gen, real-time, cloud-native data systems. This is a rare greenfield opportunity with no legacy constraints.
Responsibilities:
* Build end-to-end data systems supporting alpha research
* Develop streaming and batch pipelines (Kafka, Python)
* Optimize datasets for quantitative researchers
* Work on distributed, real-time, cloud-native architectures
Requirements:
* Degree in Computer Science, Physics, Mathematics or similar field
* 5+ years in data engineering
* Strong experience with python, distributed systems
* Deep knowledge of Kafka/stream processing
* DBT experience alone won't cut it - they need true raw data engineering expertise
* Worked in Financial Services - preferable
Location: 5 days onsite -London