Senior Data Engineer - Energy Trading

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

Job summary

A leading global Energy Trading firm is seeking a Senior Data Engineer to join their new greenfield trading desk in London. This role involves designing and optimizing data pipelines, managing end-to-end data processes, and collaborating with traders and data scientists. Ideal candidates will have extensive experience in data engineering within Energy Trading, excellent Python and SQL skills, and a strong understanding of market data sources. This is a unique opportunity to shape how data influences market insights and decisions.

Qualifications

• Extensive experience in a Data Engineering position within Energy Trading.
• Excellent Python skills including Pandas and NumPy.
• Strong ETL experience managing the full data process.

Responsibilities

• Design and build data pipelines for scalable analytics.
• Manage end-to-end data ingestion and transformation.
• Collaborate with traders to create technical data solutions.

Skills

Python

SQL

Data pipeline management

ETL processes

Collaboration with traders and data scientists

Job description

Orbis are partnering with a global Energy Trading firm on the build out of a new greenfield trading desk. As part of this exciting new development, they're looking for the first Senior Data Engineer to join the team. This is an incredible opportunity to work with an organisation at the intersection of data, technology, and trading, working alongside high performing commercial and technical teams and shaping how data underpins market insights, pricing models, and investment decisions. In this role, you will:

Responsibilities & Qualifications

• 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
• Extensive experience in a Data Engineering position involving the building and maintenance of data pipelines gained within Energy Trading
• Excellent Python skills (Pandas, NumPy), SQL
• Excellent ETL experience managing the full end-to-end process from Data Ingestion through to Data Publishing
• Ideally experience with market data sources like EPEX, ENTSO‑E, and Nord Pool, alongside strong familiarity with fundamental and weather datasets.

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.