VP Data Engineer
Posted Updated 2
views
Overview
As VP Data Engineer, you will shape data infrastructure for a global investment bank. You’ll build scalable data pipelines and Snowflake-based solutions, collaborating with Market Data, Quant and Risk teams to support analytics, VaR and stress testing. You drive reliable, auditable data foundations for large-scale financial datasets, enabling risk-aware decision making across the business. This role sits at the intersection of data engineering and risk analytics, offering impact across critical finance domains and cross-functional collaboration.
Pay / Benefits- hybrid work model
- competitive salary + bonus
- London location
- permanent role
- 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
- 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 VaR, SVaR, sensitivities or stress testing advantageous
- Strong analytical and problem-solving skills
- Excellent communication and stakeholder management skills
- communication
- stakeholder management
- problem-solving
- Snowflake
- AWS
- Python