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Data engineer on Macquarie Group's Data Services Team in London, building and optimising a petabyte-scale AWS data platform (S3, EKS, Glue, Airflow, Trino, Parquet, Redshift) and managing a large Data Lake to support trading teams' analytics and data-driven decision-making.
Data Platform Engineer at Macquarie Group's Data Services team in London, designing, building, and optimising a petabyte-scale cloud data lake and platform serving trading teams. Core stack is AWS (S3, EKS, Glue, Airflow, Trino, Redshift, Parquet, upcoming Iceberg) plus Python, SQL, and DevOps/CI-CD automation.
Macquarie Group is hiring a Data Platform Engineer in London to design, build and optimise a petabyte-scale data lake and warehouse serving trading teams. Day to day it's cloud data engineering on AWS (S3, EKS, Glue, Airflow, Trino, Redshift, moving to Apache Iceberg) with heavy DevOps/CI-CD automation.
Design, develop, and maintain Java applications and microservices supporting post-trade confirmations and settlements across multiple asset classes at Macquarie Group in London. Day to day involves real-time data streaming, cloud deployments, and containerisation, with occasional frontend collaboration.
Be part of a new capability at Macquarie. Market Services is undertaking a greenfield rebuild of the post-trade lifecycle, re-architecting how trades are processed, validated, settled and reconciled across Commodities…
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