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.

Get in touch for more details -