VirtueTech Recruitment Group
Data Engineer | Commodities & Energy Trading | Databricks, Live Data | Up to £90K + Bonus + Benefits
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Data Engineer | Commodities & Energy Trading | Databricks, Live Data | Up to £90K + Bonus + Benefits
Data Engineer required for a leading global Energy & Commodities Trading organisation, recognised as one of the largest and most diversified participants within the market. The business operates across a broad range of asset classes including Natural Gas, LNG, LPG, Oil, Coal, Power, Freight and Environmental Products, supporting trading activity. Following continued growth and investment across its trading and technology functions, the organisation is expanding its data capabilities to support increasingly sophisticated and data-driven decision-making across the business.
This is an opportunity for a Data Engineer to play a key role in the modernisation of a large-scale enterprise data platform, helping to transform how the business ingests, processes and leverages market and operational data. Sitting within the data team, you will be working across a broad landscape encompassing market data, real-time streaming, data governance and analytics. The business is undertaking a significant migration programme, moving legacy pipelines onto a modern data architecture built to support high-volume datasets, near real-time processing and scalable analytics capabilities.
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As a Data Engineer, you will be responsible for designing and engineering robust ingestion frameworks, supporting the migration of existing pipelines and contributing to the evolution of the central data platform. You will work with technologies including Kafka and Databricks to build scalable batch and streaming solutions. This role offers the opportunity to influence platform engineering standards and help shape a modern data ecosystem that underpins critical business and trading decisions across the organisation.
💼 Details for the Data Engineer:
- Salary: Up to £90,000 per annum + Bonus & Benefits
- Location: London (Hybrid – 2-3 days in the office per week)
🔍 What they are looking for in the Data Engineer:
- Strong hands-on experience with Databricks, including building and optimising enterprise-scale data platforms and implementing Medallion Architecture (Bronze, Silver, Gold) to support scalable and reliable data processing.
- Python development experience for building, orchestrating and maintaining high-performance data pipelines and ingestion frameworks.
- SQL skills for data validation, reconciliation, troubleshooting and performance optimisation across large and complex datasets.
- Experience working with real-time and streaming data technologies, ideally Kafka, with an understanding of event-driven architectures and near real-time data processing.
- Demonstrable experience designing, migrating and modernising data pipelines within cloud-based environments, with a strong understanding of modern data engineering principles and best practices.
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If you are interested in hearing more about this Data Engineering position, please send your CV or reply directly to shabana@virtuetech.io.
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