Description

Are you a Data Engineer with a passion for AI and a hunger for solving complex data challenges? Do you thrive in high-performing teams where intellectual curiosity and problem-solving take centre stage? If so, this is your opportunity to be part of an exciting new Data & AI team within a global commodities trading firm. What You’ll Be Doing: Building and optimising data pipelines, ETL processes, and modern data frameworks. Working closely with stakeholders to understand how they use data and provide innovative solutions. Collaborating with data scientists and engineers globally to support AI-driven initiatives. Driving research and development into Large Language Models (LLMs) and Generative AI applications. Owning end-to-end data engineering challenges, from design to implementation. What We’re Looking For: Strong experience with Python and SQL, with a solid understanding of modern data engineering practices. Ideally, experience with LLMs or Generative AI (commercially or via personal projects). A proactive learner who can quickly grasp new concepts and dive deep into research. Ability to engage with users, understand their data needs, and clearly articulate insights. A go-getter who enjoys taking on challenges and delivering innovative solutions. Why Join? Be part of a brand-new Data & AI team shaping the future of data-driven decision-making. Work alongside brilliant minds, including ex-Morgan Stanley leadership. A fast-paced, intellectually stimulating environment where you’ll be encouraged to explore and innovate.