VP Data EngineerFinancial TechnologyLocation: LondonWorking: 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 infrastructureDevelop Python ETL/ELT pipelines and complex SQL modelsDesign and optimise Snowflake data solutionsIntegrate and manage large-scale financial and historical dataIdentify and resolve data quality and data integrity issuesWork closely with Data, Quant, Market Data and Risk teamsEnsure data solutions are scalable, reliable and auditable
Key Requirements
Proven experience in a Data Engineering / Data Development roleStrong hands-on experience with
SnowflakeStrong
AWS, Python and SQL
skillsExperience working with large-scale financial, market or time-series dataExposure to
market data, market risk or risk analytics
highly beneficialUnderstanding of concepts such as
VaR, SVaR, sensitivities or stress testing
advantageousStrong analytical and problem-solving skillsExcellent communication and stakeholder management skills
No sponsorship available.
Get in touch for more details –
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