Job beskrivelseAbout the Role The Pre‑Trade Data Scraping & Operations Lead leads and grows a team responsible for sourcing, validating, and operating market data pipelines that underpin Pre‑Trade decision‑making. The role blends technical execution, leadership, and operational ownership in a high‑availability environment. It is hands‑on by design and central to initiatives bringing critical scraping and operations capabilities in‑house while strengthening local engineering excellence. Responsibilities Lead and develop an in‑house data scraping and operations team Coach developers and students entering the data scraping talent pipeline Support hiring, onboarding, and capability‑building to expand internal expertise Design, build, and maintain scrapers, ingestion workflows, and validation routines Provide architectural direction across the Pre‑Trade technology stack, including Python‑based services and event‑driven pipelines Drive modernisation and consolidation of scraper frameworks and ingestion strategies Ensure stable, accurate, and timely data ingestion across markets and asset classes Balance day‑to‑day operational support with delivery of roadmap‑driven enhancements Success Metrics Success in this role is measured by improved data availability and scraper reliability, effective onboarding and development of new developers, and strong stakeholder satisfaction across Trading, Analytics, and Engineering. Delivering roadmap items related to scraper consolidation and ingestion modernisation, as well as building a high‑performing, cohesive local team that works seamlessly with offshore support, are key indicators of achievement. About You The ideal candidate is a technically strong and proactive leader who enjoys remaining close to code while enabling others to grow. This person is comfortable operating in high‑pressure environments, communicates clearly with technical and non‑technical stakeholders, and takes ownership of both delivery and team development. A structured mindset and enthusiasm for continuous improvement are essential. Qualifications Strong hands‑on development experience using Python and C#/.NET Experience with data ingestion pipelines, scrapers, or automation frameworks as well as operational data quality and time‑series validation Familiarity with technologies such as ClickHouse, Postgres, Kafka, and messaging systems Understanding of cloud platforms, CI/CD pipelines, and observability practices Proven experience leading and mentoring engineers while remaining technically active Exposure to market data, trading workflows, or high‑frequency ingestion environments Knowledge of medallion architecture concepts such as Bronze, Silver, and Gold layers Interest in applying AI‑based or agentic workflows to data ingestion or operational processes Company Overview Centrica Energy operates at the forefront of European energy markets, supporting trading and optimisation activities across power, gas, and related asset classes. The organisation combines deep market expertise with advanced technology platforms to enable fast, data‑driven decision‑making in highly dynamic environments. With a strong focus on engineering excellence, reliability, and modern data architectures, Centrica Energy continues to invest in in‑house capabilities that strengthen operational resilience and innovation. #J-18808-Ljbffr
