Data Engineer Python SQL Spark

Overview

In this role you will join a small data team in a London hedge fund to transform raw data from multiple sources into usable insights for traders and quants. You will build and improve data systems, dictionaries and processes, ensuring data quality and accessibility across platforms. You’ll collaborate with technology teams to stay current with data tooling and industry trends, delivering timely data-driven insights to front-office users. This position offers a path to influence how data supports trading decisions and research. You will work in a dynamic, finance-focused environment with strong career development support.

Pay / Benefits

• Salary up to 160k
• Significant bonus potential
• Fund performance share
• Personal training budget and mentoring
• Family-friendly benefits including backup childcare and elder care
• Private healthcare and wellness activities

Responsibilities

• Transform raw data from multiple third-party sources into usable insights for trading desks and quants
• Combine and transform data to support analysis and visualisation
• Interrogate vendor data endpoints to source and analyse data
• Ensure data consistency, completeness and accuracy across platforms
• Develop data dictionaries and documentation
• Collaborate with technology teams to enhance data systems and processes
• Stay updated with industry trends and emerging data tooling

Key requirements

• First class degree in a STEM discipline from a top tier university
• Experience in a Data Engineer role within hedge fund or investment banking
• Strong programming skills in Python or C# and SQL
• Experience with version control and collaborative codebases
• Experience with modern data tools including Apache Spark and Azure Databricks
• Solid knowledge of data management principles and best practices
• Experience with data analysis and data visualization techniques
• Ability to explain complex data to front-office traders
• Exposure to data sources like Bloomberg (BBG), Markit, Refinitiv (preferred)

• Clear communication with front-office traders
• Cross-functional collaboration
• Analytical mindset
• Python
• SQL
• Apache Spark

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