A leading global energy trading firm is expanding its Front Office Engineering & Analytics function in London. This group builds the core technology that powers front office analytics, risk systems, and data-driven trading strategies across European Power & Gas, Oil, and Market Risk.
The team is scaling rapidly following a major realignment of the firm’s global technology organisation. With new leadership and a clear strategic mandate, London is becoming a key hub for engineering talent supporting front office functions globally.
You’ll join an ambitious and technically strong engineering group responsible for the firm’s next-generation analytics platform – a cloud-native ecosystem built entirely on AWS, used across trading, risk, and analytics teams worldwide.
These are hands-on engineering roles, not BAU or integration posts. The focus is on building and scaling high-performance systems, data pipelines, and applications for traders and analysts.
Key Responsibilities
- Build robust data pipelines and orchestration engines in AWS
- Integrate fundamental, exchange, and market data (generation, capacity, weather, supply/demand, etc.)
- Develop analytical and visualisation tools in Dash (Plotly)
- Partner with analysts to design statistical models and workflows
- Contribute to architectural design for scalable analytics systems
- Manage deployment and operationalisation of analytics workloads (AWS S3, ECS, Postgres)
- Champion engineering best practices, including version control (Git) and CI/CD
Requirements
- 3-7 years’ experience in data or software engineering
- Strong programming skills in Python (Java or C# a plus)
- Hands-on experience with AWS (S3, ECS, Postgres)
- Understanding of Kafka, orchestration, and distributed data systems
- Experience in energy trading, commodities, or financial analytics preferred
- Strong communication skills and a problem-solving mindset
- A true builder’s mindset – curious, hands-on, and collaborative

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