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VP Data Engineer

McGregor Boyall

London · Posted 17 Sep 2026 · 70 applicants

£150,000 per annum
Permanent
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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.

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