Part of the Future Tech Jobs (opens in a new tab) network
Sign in

VP Data Engineer

McGregor Boyall
London, United Kingdom
Yesterday
£150,000 pa

Salary

£150,000 pa

Posted
17 Sep 2026 (Yesterday)
Share
Save job
Create job alert
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 usingSnowflake, 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 withSnowflake
  • StrongAWS, Python and SQL skills
  • Experience working with large-scale financial, market or time-series data
  • Exposure tomarket data, market risk or risk analytics highly beneficial
  • Understanding of concepts such asVaR, 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 –

Related Jobs

View all jobs

Solution Specialist, AI & Data Services (Pharma)

GlobalData Plc Castle Baynard, City And County Of the City Of London, United Kingdom

Head of EMEA Financial Services GTM

Databricks London, United Kingdom
Hybrid

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Engineering roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.