VP Data Engineer

VP Data Engineer

Financial Technology

Location: London

Working: Hybrid (3 days/week in office)

Salary: Up to £150k + bonus

The Role

• Joining a global investment bank as part of a growing Data Engineering function, working on critical data infrastructure across the business.
• You’ll build and enhance modern data solutions using Snowflake, AWS, Python and SQL, working with large-scale financial and historical data.
• The role sits closely with Market Data, Quant and Risk teams, with your work supporting areas including market risk analytics, VaR and stress testing.

Key Responsibilities

• Build and enhance scalable data pipelines and infrastructure
• Develop Python ETL/ELT pipelines and complex SQL models
• Design and optimise Snowflake data solutions
• Integrate and manage large-scale financial and historical data
• Identify and resolve data quality and data integrity issues
• Work closely with Data, Quant, Market Data and Risk teams
• Ensure data solutions are scalable, reliable and auditable

Key Requirements

• Proven experience in a Data Engineering / Data Development role
• Strong hands-on experience with Snowflake
• Strong AWS, Python and SQL skills
• Experience working with large-scale financial, market or time-series data
• Exposure to market data, market risk or risk analytics highly beneficial
• Understanding of concepts such as VaR, SVaR, sensitivities or stress testing advantageous
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management skills

No sponsorship available.