Full job descriptionVP 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.

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