Python Data Engineer - TWE44291

A leading energy trading organisation requires a senior Python Data Engineer to support front office analytics and forecasting during a major data platform transition. This is a highly technical engineering project for someone who can build robust data pipelines, models and products to enahnce trading decisions and critical business process. You'd engage directly with traders / analysts and the team are rolling out Databricks so experience with this would be highly beneficial. What you’ll be doing • Building and maintaining Python + SQL data pipelines • Integrating multi-source data (forecasts, wind/solar output, LNG movements, streaming feeds) • Supporting energy fundamentals and forecasting dashboards • Working closely with front office stakeholders • Improving data quality, modelling, and governance • Contributing to best practices and mentoring across the team • Helping transition the platform toward Databricks Must-have skills (non-negotiable) • Strong Python and SQL • Solid data modelling and ETL fundamentals • Experience with Azure Blob Storage or S3 • Comfortable discussing data with front-office users • Able to mentor and uplift less experienced engineers • Active use of AI coding tools (eg Copilot, Claude) Nice-to-have experience • Databricks (being implemented imminently) • Orchestration: Dagster preferred (Airflow / Prefect acceptable) • Real-time or near-real-time data (Kafka / Azure Event Hub) • Python dashboarding: Dash, Plotly, Streamlit • Energy or commodities trading exposure (helpful, not required)