Lead Front Office Data Engineer

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Cititec Talent has partnered with a leading global commodities trading firm to find a Lead Front Office Data Engineer. In this role, you will be at the forefront of developing and optimising analytics and data solutions that empower traders and analysts to make data-driven decisions.

This is a unique opportunity to work closely with traders and analysts, building high-performance analytics platforms that directly impact trading decisions in oil and agriculture. You will lead the development of scalable data solutions, optimise market data pipelines, and deploy cloud-based analytics models in a dynamic, fast-paced trading environment.

Key Responsibilities:

• Develop and enhance analytics platforms by collaborating with traders, analysts, and technology teams to streamline data workflows.
• Lead development initiatives, facilitating regular stand-ups to drive progress and align with business objectives.
• Architect and implement scalable data engineering solutions, including analytics dashboards using Tableau, BI, and React.
• Automate and manage the release of fundamental and market data, ensuring its accuracy, integrity, and accessibility.
• Integrate and optimise new market data sources, working with third-party vendors to enhance data capabilities.
• Deploy, maintain, and optimise cloud-based analytics models to ensure high performance, scalability, and reliability in a trading environment.

Key Skills Required:

• Proven experience leading development within a Front Office trading or commodities environment.
• Experience with Python programming and strong SQL skills for data extraction, transformation, and analysis.
• Hands-on experience in building and optimising market data pipelines, analytics tools, and trading applications.
• Strong knowledge of market data structures, pricing models, market curves, and settlement curves, with a track record of implementing scalable solutions.
• Experience in data visualisation and developing analytics tools using Tableau, BI, and React.
• Strong background in cloud-based architectures, API integrations, and deploying models for real-time data processing.
• Proven ability to design, develop, and maintain high-performance systems in a fast-paced, high-pressure trading environment.