Data Engineer - Trading

Orbis Group; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A global Commodities Trading firm is seeking a Data Engineer to enhance data-driven decision-making. You will design and optimise data pipelines, manage data ingestion, and collaborate with traders and data scientists. Ideal candidates have over 6 years of experience, strong Python and SQL skills, and ETL expertise. This role offers an exciting opportunity to influence market insights and pricing models.

Qualifications

• 6+ years' experience in Data Operations, Data Engineering, or similar roles.
• Excellent Python and SQL skills.
• Strong ETL experience with data pipelines.

Responsibilities

• Design, build, and optimise data pipelines for scalable analytics.
• Manage end-to-end data ingestion, ensuring accuracy and reliability.
• Collaborate to translate commercial needs into technical solutions.
• Develop tools for operational stability and resilient data operations.

Skills

Python (Pandas, NumPy)

SQL

ETL management

Data Operations

Job description

Orbis are partnering with a global Commodities Trading firm who are investing heavily in data-driven decision-making, and embracing modern technology across the business, including GenAI. As part of this growth, they're looking for a Data Engineer to join their data team and ensure commercial teams have the data they need, when they need it. This is an incredible opportunity to work at the intersection of data, technology, and trading, supporting the global commercial teams and shaping how data underpins market insights, pricing models, and investment decisions. In this role, you will:

Responsibilities

• Design, build, and optimise data pipelines and market data platforms in Python for scalable, high-performance analytics
• Manage end-to-end data ingestion (ETL), transformation, and quality control, ensuring data accuracy and reliability
• Collaborate with traders, quants, and data scientists to translate commercial needs into robust technical data solutions
• Oversee operational stability - developing monitoring tools, automations, and runbooks to ensure resilient data operations

Qualifications

• 6+ years' experience in Data Operations, Data Engineering, or similar, ideally with a Data Provider or Trading firm
• Excellent Python skills (Pandas, NumPy), SQL
• Excellent ETL experience managing the full end-to-end process from Data Ingestion through to Data Publishing and maintenance of data pipelines
• (Preferred) Strong experience working with Market Data and/or fundamental/macro data covering the commodities Trading space

If you feel your experience is a match with the above, please apply with an up-to-date copy of your CV in the first instance.