VP Data Engineer
Job in
London, Greater London, W1G8DN, England, UK
Listed on 2026-10-10
Listing for:
McGregor Boyall
Full Time, Part Time
position Listed on 2026-10-10
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Data Analyst, Data Science Manager
Job Description & How to Apply Below
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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