At a Glance
- Tasks: Shape data infrastructure and build scalable pipelines for a global investment bank.
- Company: Join a leading global investment bank with a focus on innovation.
- Benefits: Enjoy a competitive salary, bonuses, and a hybrid work model in London.
- Other info: Collaborate with cross-functional teams in a dynamic and impactful role.
- Why this job: Make a real impact on financial decision-making through data engineering.
- Qualifications: Proven experience in data engineering with strong skills in Snowflake, AWS, Python, and SQL.
The predicted salary is between 63000 - 77000 £ per year.
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, Va R 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
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 Va R, SVa R, 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
VP Data Engineer in London employer: McGregor Boyall
Join a leading global Investment Management firm in London, where you will thrive in a dynamic hybrid work environment that fosters collaboration and innovation. With a strong focus on employee growth, the company offers competitive salaries, generous bonuses, and comprehensive benefits, alongside opportunities to take ownership of impactful regulatory initiatives. Experience a supportive work culture that values strong stakeholder relationships and encourages professional development, making it an ideal place for those seeking meaningful and rewarding employment.
