McGregor Boyall
VP Data Engineer
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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.
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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
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Get in touch for more details - ncarolan@mcgregor-boyall.com
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