Senior Data Engineer

Oxford Knight; England; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Private medical

Paid parental leave

Group life assurance

Parking/Cycle schemes

Job summary

Oxford Knight is seeking a Senior Data Engineer to join the Vendor Data Group in London. You will build and maintain legacy-critical ETL/ELT data pipelines and collaborate with trading teams to develop scalable data architectures for commodity and macro data in real-time environments.

The ideal candidate has 3+ years of data engineering experience, strong Python, DevOps and Linux skills, and expert ETL/ELT pipeline development. Familiarity with Pandas/NumPy and databases is a plus.

Qualifications

• 3+ years of experience as a Data Engineer.
• Proficient in Python development, DevOps, and Linux.
• Expert-level experience in ETL/ELT pipelines.

Responsibilities

• Build and maintain data integration pipelines (ETL/ELT).
• Collaborate with trading teams to support data needs.
• Develop scalable data architectures and data processing workflows.
• Optimize data processing for real-time environments.

Skills

Data engineering

Python

DevOps

ETL/ELT

Linux

Pandas/NumPy

Tools

Databases (SQL/NoSQL)

Job description

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