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Data Engineering Manager Python
3 months ago
Our client is a major commodities-focused hedge fund with a global footprint and 2000+ employees.
As a Global Data Engineering Manager, you will contribute to building and developing an enterprise data platform and related applications in a complex and demanding trading environment.
This is a cutting-edge team of Data Scientists and Engineers that produce products, insights, and signals that impact trading decisions.
The role will manage a global data engineering team responsible for the ingestion, management, and provision of market data, commodity-related economic data, and commercial data for use by data scientists, traders, research analysts, and operators.
This presents an outstanding opportunity to work in a dynamic, fast-paced commercial environment and play a pivotal role in a real-time, data-driven trading ecosystem.
Financial market data ingestion, ETL/ELT pipeline development, data modelling, and data provisioning# Advanced Python & SQL
# Data quality management
# AWS data stack
Your background will be in running a Data Engineering team at a top hedge fund or energy trader (high-bar organization).
BSc/MSc in Computer Science (or similar discipline) from a top university. Experience with data related to energy and metals commodities, power generation, weather data, or shipping would be advantageous.Management of a global team of data engineers
# Management and ongoing development of an enterprise data platform built on AWS
# Development of new data products and services for commercial and operational teams
# Report to Head of Data Science
Work closely with senior data scientists, data engineers, research analysts, and traders
#
