Data Engineer

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

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