Investment Data Engineer (VP) - SQL. ML, Azure - London : £130k + bonus

A leading global investment platform is building out its Private Markets capability and is looking to hire a high-impact Investment Data Engineer (VP level) to join its London team.

This is a rare opportunity to step into a foundational data role within a fast-scaling private credit business—where you’ll shape architecture, analytics, and data strategy from the ground up.

The Opportunity

You’ll take ownership of the end-to-end data ecosystem supporting a growing private credit platform, working at the intersection of engineering, analytics, and investment decision-making.

This role combines hands-on technical delivery with strategic influence, offering direct exposure to deal teams, fundraising activity, and portfolio monitoring.

Key Responsibilities

• Lead the design and build of modern data infrastructure across SQL Server and Azure (Data Lake, Databricks)
• Develop scalable data pipelines and integrate multiple internal and external systems
• Create intuitive front-end tools and workflows to drive user adoption across the business
• Build and deploy machine learning models (text extraction, deal sourcing, portfolio monitoring)
• Own and evolve portfolio data pipelines, expanding coverage across live and historical deals
• Establish data governance frameworks and data quality processes from scratch

Candidate Profile

We’re looking for a technical self-starter who thrives in a build environment:

• Strong programming skills across Python, SQL
• ML modelling experience
• Proven experience building production-grade data platforms in Azure
• Experience deploying machine learning models into live environments
• Exposure to data governance and data quality frameworks
• Ability to engage business users and deliver user-facing tools and insights
• Background in financial services, private credit, or asset management is advantageous

Why Apply?

• Build a greenfield data architecture within a high-growth investment platform
• Work directly with investment professionals on deal-critical analytics
• Gain exposure to front-office decision-making and fundraising activity
• Join a team where data is central to strategy, not just reporting