Vitol Benefits Overview

Build and operate production data pipelines and warehouse models for a global energy trading platform. Develop Python pipelines orchestrated with Prefect, create tested Snowflake models with dbt, migrate legacy Oracle systems, integrate diverse data technologies, and implement quality, freshness, monitoring, and alerting controls. The role also supports AI-ready data, AWS services, platform documentation, and direct collaboration with analysts and desk users.

Build and deploy LLM-based automation solutions for energy and commodities trading workflows. Responsibilities include designing agentic AI workflows, developing prompts, AI Skills, and MCPs, gathering requirements from business stakeholders, and delivering production-ready solutions. The role requires hands-on Python engineering, collaboration with non-technical users, documentation, and autonomous ownership of AI projects.

Lead the creation and governance of Vitol’s enterprise architecture function. Define target-state technology blueprints, architecture standards, integration and data designs, cloud strategy, and build-versus-buy decisions. Govern technology choices, technical debt, application inventories, and demand management while supporting data, AI, cloud, and modernization initiatives. Partner with technology, trading, cybersecurity, and infrastructure leaders, and build a future enterprise architecture team.