Pre-Trade Data Developer

This role sits at the heart of a business‑critical pre‑trade data landscape supporting traders, analysts, and algorithmic trading systems. It combines hands‑on software engineering with real operational responsibility, where data quality, resilience, and responsiveness directly influence trading performance. The position offers the opportunity to develop deep technical ownership while working closely with front‑office stakeholders in a fast‑moving energy trading environment.

About the Role

The role focuses on building and operating data scraping pipelines that feed pre‑trade platforms with high‑quality market data from a wide range of external sources. It spans both development and operations, requiring careful attention to detail and a structured approach to reliability and issue resolution. Close interaction with trading and analytics stakeholders is a core part of the work, ensuring solutions align with real business needs.

Key responsibilities include:

• Designing, building, maintaining, and improving data scrapers, ingestion pipelines, and validation processes supporting pre‑trade platforms, primarily using Python and occasionally C#/.NET.

• Improving robustness, maintainability, and observability of scraping solutions, including troubleshooting failures, identifying root causes, and implementing durable fixes.

• Contributing to engineering best practices such as code quality, testing, monitoring, alerting, documentation, and evolving internal frameworks and operational tooling.

• Ensuring timely, complete, and accurate ingestion of market data into business‑critical pre‑trade systems, taking ownership of production issues, and supporting incident management and post‑incident analysis.

• Collaborating with support functions and engineering colleagues to reduce operational risk, improve service levels, and participate actively in code reviews, technical discussions, and team ceremonies.

• Engaging directly with traders, analysts, quants, and other business stakeholders to understand requirements, investigate data issues, translate business needs into technical solutions, and build credibility through reliable execution and responsiveness.

Success in this role is defined by the delivery of reliable, high-quality scraping and ingestion solutions that support pre-trade platforms. Strong operational performance, reduced failures, improved data quality, and faster issue resolution are key outcomes. Positive feedback from business stakeholders, demonstrated ownership of key scrapers and data flows, and meaningful contributions to a robust, scalable, and maintainable in-house scraping capability are clear indicators of achievement.

About You

The ideal candidate is curious and motivated to understand both the technical and commercial context of their work. They remain calm under pressure, prioritise effectively, and approach challenges with a collaborative and straightforward working style. Accountability, clear communication, and a genuine interest in market data and energy trading are essential personal qualities for thriving in this environment.

The ideal candidate has:

• Bachelor’s or master’s degree in Computer Science, Data Science, Software Engineering, Mathematics, Physics, or similar plus solid professional experience developing software in Python.

• Experience with backend or data-oriented development in production environments, including SQL and structured data handling; exposure to C#/.NET, ClickHouse, cloud platforms, event-driven systems, or modern observability tooling is beneficial.

• Strong understanding of APIs, data ingestion, automation, and systems integration, with familiarity in version control, testing practices, and disciplined software engineering.

• Demonstrated ability to troubleshoot production issues, identify root causes, and improve reliability of operational systems, contributing to incident management and post-incident analysis.

• Attention to detail and structured problem solving, with good judgement and a pragmatic approach to delivery in fast-paced, time-sensitive environments.

• Proactive, dependable, and comfortable taking ownership of problems through to resolution, with strong communication skills and confidence interacting with business stakeholders.

About Centrica Energy

Centrica Energy operates an integrated trading business built on timely, accurate, and reliable market data. Engineering teams play a pivotal role in enabling trading strategies by delivering systems that perform under pressure and scale with growing complexity. The organisation is investing in strong in‑house engineering capability, emphasising ownership, quality, and operational excellence. Collaboration across technology and business functions ensures that technical solutions remain closely aligned with commercial priorities, creating an environment where engineers gain both deep technical expertise and strong domain knowledge in energy markets.

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