Data Engineer, Commodities £135,000 Basic + Extensive Benefits, London
My Commodities Trading Client are looking for a Data Engineer to join the trade surveillance team, develop ingestion pipelines and frameworks to support strategic decision making.
The team has recently built a new data lake house and ingestion infrastructure. It is entering a phase of hardening and re-engineering to enhance the speed, ease, and quality of ingestion across the portfolio.
Key Requirements:
Strong proficiency in Python and PySpark
Successful track history in a Data Engineering role including Database Management (ideally SQL), Data Orchestration (ideally Apache Airflow or Dagster), Containerisation (ideally Kubernetes and Docker) .Data Pipelines (big data technologies and architectures)
Experience in Financial Services (ideally Commodity) Trading.
Bachelor's degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training and experience.
Experience in Azure/Cloud services, Trade Surveillance and Commodities experience are all desirable but not mandatory.
This role is 3 days a week in London. If you are interested in the position please submit your profile and contact details.
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