Data Scientist Engineer

Orbis Group

London

3 months ago

Applications closed

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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, theyre 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.

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

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

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