Senior Data Engineer - Commodities

⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
700
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πŸ—“οΈ - Date discovered
September 16, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Spark (Apache Spark) #Python #Data Pipeline #Databricks #PySpark #Infrastructure as Code (IaC) #Data Science #SQL (Structured Query Language) #Data Engineering #AI (Artificial Intelligence) #ML (Machine Learning) #DevOps
Role description
My leading client are looking for a Senior Data Engineer to help develop and expand their global analytics platform, supporting their Commodities front office trading business. You'll work with business stakeholders to understand requirements, design and build robust data pipelines and deliver end-to-end analytics and ML/AI capabilities. This is a long-term contract role. The following skills / experience is essential: β€’ Strong expertise in Python, PySpark, and SQL β€’ Extensive hands-on experience with Databricks β€’ Familiarity with Data Science and Machine Learning frameworks β€’ Background in DevOps and Infrastructure as Code (IaC) β€’ Commodities industry experience is a strong plus Rate: Up to Β£700/day Duration: 12 months + Location: London (good work from home options available) If you are interested in this Senior Data Engineer position and meet the above requirements please apply immediately.