VP Data Engineer

McGregor Boyall Associates Ltd.

London, UK

5 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

£150,000.0

Working hours

Regular working hours

Job source

www.totaljobs.com

Tech stack

Amazon Web Services Information Engineering Data Infrastructure Data Integrity Extract Transform Load (ETL) Data Systems Database Development Python (Programming Language) Standard Sql SQL Databases Snowflake Data Pipelines

Job description

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., * 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

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