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. 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
VP Data Engineer employer: McGregor Boyall Careers
As an IT Project Manager in our dynamic technology team, you will thrive in a collaborative work culture that values innovation and excellence. We offer competitive benefits, ongoing professional development opportunities, and the chance to lead impactful network infrastructure projects in a complex enterprise environment. Join us to make a meaningful contribution while advancing your career in a supportive and growth-oriented setting.
