Senior Data Engineer

Jump Trading; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a skilled Data Engineer to join their dynamic team. In this role, you will build and maintain essential data integration pipelines, ensuring data accuracy and reliability while collaborating closely with traders and researchers. This position offers a unique opportunity to develop both business and technical expertise in a fast-paced environment, contributing to the evolving code base that supports critical trading operations. If you are passionate about data engineering and thrive in a collaborative atmosphere, this opportunity is perfect for you.

Benefits

Private Medical Insurance

Vision Insurance

Dental Insurance

Travel Medical Insurance

Group Pension Scheme

Group Life Assurance

Income Protection Schemes

Paid Parental Leave

Parking Benefits

Commuter Benefits

Qualifications

• 3+ years of experience as a Data Engineer, preferably in commodity or macro trading.
• Expertise in building and maintaining ETL/ELT data pipelines.

Responsibilities

• Build and maintain data pipelines for alternative commodity and macro data.
• Collaborate with traders and researchers to meet data needs.

Skills

Python Development

Data Pipeline Development (ETL/ELT)

DevOps

Linux Environments

Data Analytics (Pandas, NumPy)

Relational Database Management

Non-relational Database Management

Analytical Skills

Problem-Solving Skills

Job description

Data Engineer

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration.

The Vendor Data Group is part of the larger Core Development team at Jump Trading and is responsible for curating a centralized source of research and reference data for the firm to utilize. The Vendor Data Group operates in a very dynamic environment utilizing a sophisticated and diverse technology stack. The team interfaces with all aspects of the firm, from Trading, Research, and Technology to Risk, Middle Office and Accounting – providing individuals within the group a full 360-degree view of Jump. The role offers the individual the opportunity to develop both business and technical expertise, while significantly contributing to our evolving code base.

We are seeking an experienced Data Engineer with at least 3+ years of experience. They will be working closely with one of our trading teams, building and maintaining mission critical data integration pipelines (ETL/ELT) and associated tools. Commodities and Macro alternative/fundamental data experience is preferred.

What you’ll do:

• Build and maintain data pipelines for alternative commodity and macro data.
• Collaborate with traders and researchers: Understand and meet Quant research and Trading team data needs.
• Develop scalable data architectures.
• Quality Assurance: Ensure data accuracy and reliability.
• Enhance data processing and optimizing workflows.

Skills you’ll need:

• At least 3+ years’ experience as a Data Engineer, preferably in commodity or macro trading.
• Proficient in Python development, Devops, and Linux environments.
• Expert experience data pipeline development, specifically ETL/ELT pipelines.
• Familiarity with data analytics tools and libraries, such as Pandas and NumPy.
• Skilled with relational and non-relational database management.
• Ability and willingness to collaborate with traders and analysts in a real time environment.
• Strong analytical and problem-solving abilities.

Benefits include:

• Private Medical, Vision and Dental Insurance
• Travel Medical Insurance
• Group Pension Scheme
• Group Life Assurance and Income Protection Schemes
• Paid Parental Leave
• Parking and Commuter Benefits