Data Engineer - Private Equity
Description
Data Engineer - Private Equity Investment Platform London (5 days onsite) | Up to £100,000 + bonus
A London-based private equity real estate firm is hiring a Data Engineer to own and build its data platform, supporting research and investment decision-making across the business.
This is a hands-on role in a lean team, sitting at the intersection of data engineering, analytics and investment research, working directly with stakeholders.
Key responsibilities: . Own end-to-end data platform architecture and modelling . Convert Excel models into scalable Python workflows . Build pipelines using Snowflake + dbt . Implement CI/CD, orchestration and automation . Drive data governance and quality . Develop AI/LLM-based workflows for research and portfolio analysis
Requirements: . 4-6 years Data/Analytics Engineering experience . Strong Python & SQL . Snowflake + dbt experience . Strong data modelling and platform ownership mindset . Comfortable in a fast-paced, high-ownership environment
5 days onsite in London
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.