Data Engineer | Commodities & Energy Trading | Greenfield Next-Gen Lakehouse | Up to £90K + Bon[...]

Data Engineer | Commodities & Energy Trading | Greenfield Next-Gen Lakehouse | Up to £90K + Bonus + Benefits

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Data Engineer required for an Energy and commodities trading house, which is one of the worlds largest and most diverse general trading companies. Working with different types of commodities and a fast growing business.

Data Engineer needed for the core engineering team. You’ll play a key role in shaping and delivering scalable data solutions that support both day-to-day operations and long-term business growth. Focusing on building and maintaining their data platform’s. In this hands on role, you’ll guide a small team of data engineers and help shape a data platform that’s reliable, easy to use, and fit for everything from day-to-day business decisions to regulatory reporting.

As a Data Engineer, you will be pivotal and help guide the build a modern, next-generation core engineering platform—a greenfield enterprise foundation that will sit at the centre of all future initiatives. This platform will act as the gateway for business and trading teams, giving them access to centralised, enterprise-grade capabilities that enable faster, smarter, and more efficient product development.

In this Data Engineer role, you\’ll play a pivotal role in designing, building, and maintaining modern lakehouse-based data platforms. Working closely with the Head of Core Engineering and teams across the business. You’ll help shape the organisation’s data strategy and ensure the platform aligns with long-term objectives.

In this Data Engineering role, you’ll design, develop, and maintain data platforms using technologies such as Snowflake, Databricks, Synapse/Fabric, and PySpark, ensuring the scalability, security, and performance of all data systems. As the Senior Data Engineer your role will be to include establishing and championing best practices for data engineering while creating development environments that support efficient and reliable data processing.

Key Responsibilities

• Solid grasp of modern data engineering concepts and workflows.
• Familiarity with Azure and related DevOps tools.
• Strong Python programming capability.
• Knowledge of data orchestration, pipeline development, and data modelling.
• Background in connecting data platforms with visualisation tools like Power BI and Tableau.

Details

• Salary: Up to £90,000 per annum + Bonus & Benefits
• Location: London (Hybrid – 2-3 days in the office per week)