Developer - Energy Trading, markets

ATTB - The Big Jobsite; Oxford; Remote; GBP 50,000 - 60,000; Full time

Job summary

A leading company in energy trading is seeking a Developer to design and build a robust tech stack that drives real-time decisions in dynamic markets. This remote role, with onsite presence once a month, offers an exciting opportunity for career growth and the chance to shape the trading tech function significantly.

Qualifications

• Experience in building high-performance back-end systems.
• Passion for developing scalable infrastructure.
• Ability to work closely with quantitative analysts.

Responsibilities

• Architect and implement APIs and RESTful services.
• Build streaming pipelines with Kafka and Spark.
• Ensure 24/7 service uptime via monitoring.

Skills

Event-driven APIs

RESTful services

Kafka

Spark

Azure

Kubernetes

ETL processes

Tools

Azure Functions

Azure App Services

Job description

Developer - Energy Trading, Markets

Remote working - May require onsite presence once a month

Salary - Up to £60,000

Career growth opportunity to lead the trading tech stack

We’re looking for a Developer with a passion for building high-performance systems that drive real-time decision-making in dynamic energy markets. This is your chance to make a direct impact in the energy transition, developing scalable infrastructure for a cutting-edge trading operation.

Working closely with quantitative analysts and trading leaders, you will design and build robust back-end services, data pipelines, and low-latency systems that power trading strategies. This role is the first developer within the trading team, offering a unique opportunity to take ownership and scale the function into a high-performing technology unit.

What You'll Be Doing:

1. Architect and implement event-driven APIs and RESTful services for trading data and control systems.
2. Build real-time streaming pipelines with tools like Kafka, Spark, and Event Hub.
3. Deploy on Azure cloud infrastructure, using Functions, App Services, and Kubernetes (AKS).
4. Manage and ingest large datasets from multiple sources (FIX/WebSocket, APIs, exchange feeds).
5. Build ETL processes and backend frameworks to support analytics and trading execution.
6. Ensure 24/7 service uptime via robust monitoring, alerting, and incident management.