VP Data Engineer

VP Data Engineer

Candidates should take the time to read all the elements of this job advert carefully Please make your application promptly.
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 xwzovoh 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 –