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 –

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