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Data Engineer - £125,000 - Snowflake - London - Hybrid
Jefferson Frank
City Of London
On-site
GBP 125,000
Full time
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Job summary
Join a leading global commodities merchant as a Data Engineer, where you will play a pivotal role in developing a cutting-edge data science platform. This innovative firm focuses on leveraging advanced data analytics and technology to optimize trading strategies. Your expertise in data engineering, Python, and SQL will be essential in implementing new data management platforms and creating robust data ingestion pipelines. Collaborate with global teams to drive data-driven decision-making and enhance asset management. If you are passionate about data and technology, this is your chance to make a significant impact in a dynamic environment.
Qualifications
- Exceptional skills in Data Engineering with hands-on experience in Snowflake and Databricks.
- Advanced knowledge of Python and SQL for data management and architecture.
Responsibilities
- Develop a top-tier data science platform for investment strategy.
- Implement data management platforms and create ingestion pipelines.
Skills
Tools
Job description
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 similar
Nice to Have:
- ML / AI Experience
- SnapLogic
Interviews ongoing don't miss your chance to secure this life-changing role!
Contact me @ j.shaw-bollands@tenthrevolution.com or on 0191 338 6641.
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