VP Data Engineering - Financial Data, Snowflake & Cloud

McGregor Recruitment; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

McGregor Recruitment is seeking a VP Data Engineer in London with hybrid working arrangement (3 days in the office). You will join a global financial technology environment to build and enhance critical data infrastructure across the business.

You will work with Snowflake, AWS, Python and SQL on large-scale financial and historical data, collaborating with Market Data, Quant and Risk teams to support analytics, VaR and stress testing.

Qualifications

• Proven experience in a Data Engineering role.
• Hands-on Snowflake experience.
• Strong AWS, Python and SQL skills.
• Experience with large-scale financial, market or time-series data.
• Exposure to market data or risk analytics is beneficial.
• Understanding VaR, SVaR and stress testing is advantageous.

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.

Skills

Data pipelines

Stakeholder management

Analytics

Communication

Problem solving

Tools

Snowflake

AWS

Python

SQL

Job description

McGregor Recruitment is seeking a VP Data Engineer in London with hybrid working arrangement (3 days in the office). You will join a global financial technology environment to build and enhance critical data infrastructure across the business.

You will work with Snowflake, AWS, Python and SQL on large-scale financial and historical data, collaborating with Market Data, Quant and Risk teams to support analytics, VaR and stress testing.