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We’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that’s energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion and more potential. That’s why working here is #MoreThanACareer. We do energy differently – we do it all. We make it, store it, move it, sell it and mend it.
About your team:
At Centrica Energy, our mission is to move it.
We’re energy movers by nature. We’re a global renewable energy trading company which helps move energy from source to use – powering businesses, homes, and societies as they transition to a new sustainable energy future. If the idea of working to create a sustainable energy future also moves you, we may very well be the right place for you.
This role sits at the heart of abusiness‑criticalpre‑tradedata landscape supporting traders, analysts, and algorithmic trading systems. It combineshands‑onsoftware 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 withfront‑officestakeholders in afast‑movingenergy trading environment.
About the Role
The role focuses on building and operating data scraping pipelines that feedpre‑tradeplatforms withhigh‑qualitymarket 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 withreal businessneeds.
Key responsibilities include:
1. Designing, building,maintaining, and improving data scrapers, ingestion pipelines, and validation processes supportingpre‑tradeplatforms, primarily using Python and occasionally C#/.NET.
2. Improving robustness, maintainability, and observability of scraping solutions, including troubleshooting failures,identifyingroot causes, and implementing durable fixes.
3. Contributing to engineering best practices such as code quality, testing, monitoring, alerting, documentation, and evolving internal frameworks and operational tooling.
4. Ensuringtimely, complete, andaccurateingestion of market data intobusiness‑criticalpre‑tradesystems, taking ownership of production issues, and supporting incident management andpost‑incidentanalysis.
5. Collaborating with support functions and engineering colleagues to reduce operational risk, improve service levels, andparticipateactively in code reviews, technical discussions, and team ceremonies.
6. 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,demonstratedownership 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. Theyremaincalm 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 idealcandidate has:
7. Bachelor’s ormaster’s degree in Computer Science, Data Science, Software Engineering, Mathematics, Physics, orsimilarplus solid professional experience developing software in Python.
8. 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.
9. Strong understanding of APIs, data ingestion, automation, and systems integration, with familiarity in version control, testing practices, and disciplined software engineering.
10. Demonstrated ability to troubleshoot production issues,identifyroot causes, and improve reliability of operational systems, contributing to incident management and post-incident analysis.
11. Attention to detail and structured problem solving, with good judgement and a pragmatic approach to delivery in fast-paced, time-sensitive environments.
12. Proactive, dependable, and comfortable taking ownership of problems through to resolution, withstrong communicationskills and confidence interacting with business stakeholders.
About Centrica Energy
Centrica Energyoperatesan integrated trading business built ontimely,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 strongin‑houseengineering capability, emphasising ownership, quality, and operational excellence. Collaboration across technology and business functions ensures that technical solutionsremainclosely aligned with commercial priorities, creating an environment where engineers gain both deep technicalexpertiseand strong domain knowledge in energy markets.