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Data Engineer - 125,000 - Snowflake - London - Hybrid
Company Overview:
My client is a leading global commodities merchant and infrastructure asset investor, specialising in the physical and financial trading of energy commodities. They leverage advanced data analytics and cutting-edge technology to optimise trading strategies and asset management. With a strong focus on data-driven decision-making, they provide innovative solutions in data engineering, analytics, and technology integration.
Role Overview:
As a Data Engineer, you will be crucial in developing a top-tier data science platform integral to my clients investment strategy. Your role involves implementing new data management platforms, creating data ingestion pipelines, and sourcing new data sets. You will handle all aspects of data, from architecture design to ongoing management, and work closely with Risk and commercial investing teams globally.
Requirements:
- Exceptional Data Engineering skills and experience
- Advanced Python and SQL skills
- Experience with Data Architecture and Dimensional Modelling
- Hands-on experience with Snowflake, Databricks, or smilar
Nice to Have:
- ML / AI Experience
- SnapLogic
Interviews ongoing don't miss your chance to secure this life changing role!
Contact me @ (url removed) or on (phone number removed).
MySQL, Python, Snowflake, Data Engineer, Commodities, Oracle, ETL, Data Science, AI
