Senior Data Engineer - Commodity Trading | London, UK | Hybrid

Senior Data Engineer - Commodity Trading

Are you a skilled Data Engineer with experience in building and optimizing data platforms? Join a leading firm in the commodity trading sector, where you'll play a key role in developing scalable, high-performance data solutions.

The Role:

As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining robust data platforms. You’ll work with modern technologies such as Snowflake, Databricks, Synapse/Fabric, and PySpark, ensuring seamless data integration and accessibility for business and regulatory needs.

Key Responsibilities:

1. Build and optimize data platforms for scalability, security, and performance. Develop and maintain data pipelines and models, integrating tools like Power BI and Tableau.
2. Implement best practices for data engineering and DevOps. Support business users in deploying and maintaining data solutions.
3. Ensure compliance with regulatory data requirements.
4. Collaborate with engineers and stakeholders to drive data innovation.

Requirements:

1. Proven experience in data engineering, ideally within trading or financial services.
2. Strong knowledge of Snowflake, Databricks, Synapse/Fabric, PySpark, and Azure.
3. Expertise in data modeling, pipelines, and orchestration.
4. Proficiency in Python and SQL (MS SQL Server, Oracle).
5. Experience with DevOps, performance optimization, and data governance.
6. Excellent problem-solving and communication skills.

This is an opportunity to work in a dynamic, fast-paced environment where data plays a crucial role in decision-making. If you’re passionate about data engineering and ready to take on a new challenge, apply now!