Job Description

Build and maintain end-to-end data pipelines to ingest, process and transform vendor and exchange data into research-ready datasets.
Onboard new data sources and develop derived datasets to support quantitative research.
Manage and optimise databases and storage systems for query performance and cost efficiency.
Improve data quality through automated validation, cleaning, monitoring and production alerting.
Document data sources, structures and usage to help research teams work effectively with the data.

3+ years of experience building and maintaining production data pipelines, with flexibility for more senior candidates who remain hands-on.
Strong Python programming skills and the ability to write clean, reliable and maintainable code.
Experience in one or more areas of data engineering, such as data ingestion, transformation, pipeline development, storage or query