Data Engineer Python SQL Spark

In this Data Engineer role, you will transform and integrate data from diverse third-party sources to support trading desks and quants. You join a small team focused on delivering accurate, timely data Content for analytics, visualization, and decision-making. You will build data dictionaries, improve data systems, and stay current with data tooling. This London-based opportunity combines rigorous technical work with a collaborative finance environment that values performance and professional growth.

• Salary up to 160k
• significant bonus potential
• fund performance share
• personal training budget and mentoring
• private healthcare
• family-friendly benefits

• Combine and transform raw data from multiple vendors into usable insights
• Develop and maintain data dictionaries and documentation
• Collaborate with technology teams to implement and enhance data systems
• Ensure data quality: completeness, consistency, and accuracy across platforms
• Source and analyze data from vendor endpoints to support trading and investment desks
• Produce analyses and visualizations to inform front-office decisions
• Keep up-to-date with industry trends and emerging data tools
• Support data governance and best practices across data content workflows

• Experience in a Data Engineer role within a hedge fund or investment bank
• Strong Python or C# and SQL skills
• Experience with version control and collaborative codebases
• Experience with modern data tools; Apache Spark and Azure Databricks preferred
• Knowledge of data management principles and best practices
• Experience with data analysis and visualization techniques
• Ability to convey complex data and technical information to front-office traders
• Exposure to Bloomberg (BBG), Markit, Refinitiv, or macro research would be advantageous

• clear communicator
• cross-functional collaboration
• problem solving
• Python
• SQL
• Apache Spark