Senior Data Engineer
Summary
Senior Data Engineer at a leading global quant trading firm's London office, building and maintaining mission-critical ETL/ELT data integration pipelines and tools for alternative commodity and macro data in collaboration with a trading team. Core stack: Python, DevOps, Linux, with Pandas/NumPy for analytics.
Leading global quant firm is looking for a pragmatic data engineer with experience of ETL/ELT pipelines to join the Vendor Data Group. Despite serving as the hub for managing the substantial operations across the UK, Europe and the Middle East, the London office retains a lively, positive environment of a start-up with the stability of a longer-established player.
You will be joining a very dynamic environment offering exposure to all aspects of the firm, as you collaborate with one of the trading teams to build and maintain mission-critical data integration pipelines and associated tools for alternative commodity and macro data. You’ll develop scalable data architectures and enhance data processing while optimizing workflows.
Here, technology is viewed as crucial to their continued success. The successful Senior Data Engineer will be passionate about data accuracy, and able to solve difficult technical problems in a real-time environment.
Requirements
- At least 3+ years’ experience as a Data Engineer
- Proficient in Python development, Devops, and Linux environments
- Expert-level experience in data pipeline development, specifically ETL/ELT pipelines
- Familiarity with data analytics tools and libraries, e.g. Pandas and NumPy
Preferred
- Commodities and Macro alternative/fundamental data experience
- Skilled with relational and non-relational database management
- Competitive base salary & bonus
- Enormous opportunity to grow, learn and have a significant business impact
- Contributions are rewarded; career progression supported
- Substantial benefits package, including private medical, paid parental leave, group life assurance & parking/cycle schemes