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Senior Data Engineer- Global Quant Firm

eFinancialCareers·London (South East England)Senior
Salary not stated
Vox Summary
  • Role Overview: Build and maintain mission-critical data pipelines and tools for alternative commodity and macro data in a dynamic environment.
  • Key Requirements: At least 3+ years' experience as a Data Engineer, proficient in Python, DevOps, Linux, and ETL/ELT pipeline development.
  • Preferred Skills: Experience with commodities and macro data, and familiarity with relational and non-relational databases.
  • Conditions & Benefits: Salary up to £200k + bonus, private medical, paid parental leave, life assurance, parking/cycle schemes, and opportunities for growth.
Apply on sourceYou are leaving VoxJobs for reed.co.uk — the application is handled directly by the company. reed.co.uk

Job description

Salary: up to £200k + bonus Summary 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 NB: Please don't apply if you're a fresh graduate. Benefits • 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 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. Contact If this sounds like you, or you'd like to know more, please get in touch: Andy Stirling-Martin in/andrew-stirling-martin-7664a946

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Original source
reed.co.uk
Posted
Jul 13, 2026 · true date
Last verified
1 hour ago
Quality score
35/100
Salary stated0
Company identified0
applyUrl0
postedAt15
Complete description20

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