Data Engineer

Investment Data Engineer

London

Hybrid

We’re looking for a highly skilled Investment Data Engineer to help build and scale a private credit data and analytics platform.

This is a rare opportunity to shape data infrastructure, analytics, and machine learning capabilities from the ground up—directly influencing investment decisions within a fast-growing private markets environment.

About the Role

You will take ownership of the private credit data ecosystem end-to-end—designing robust backend infrastructure, building intuitive user-facing tools, and delivering advanced analytics that power deal sourcing and portfolio monitoring.

This is a hands-on engineering role with significant autonomy and visibility across the business.

What You’ll Be Doing

• Architect and build scalable data platforms using SQL Server and Azure
• Develop end-to-end data pipelines and front-end applications for business users
• Design and deploy machine learning models for text analysis, deal sourcing, and portfolio monitoring
• Expand and optimise data access across a growing portfolio of private credit deals
• Establish data governance frameworks and improve data quality processes
• Enable self-serve MI through tooling, training, and knowledge sharing
• Partner with internal teams and external vendors to deliver critical data solutions

About the Platform

• Backed by institutional capital with a growing European investment footprint
• Focused on private credit and direct lending strategies
• A developing Data & Analytics function evolving into a centre of excellence for data engineering and machine learning

What We’re Looking For

• Degree in Computer Science, Data Science, Software Engineering, or similar
• Strong programming skills in Python, SQL, and C#/.NET or JavaScript
• Experience building production-grade data platforms in Azure (Data Lake, Databricks)
• Proven experience delivering ML models in production data pipelines
• Exposure to data governance and data quality frameworks
• Ability to work independently, drive projects, and operate in an evolving environment

Desirable:

• Experience with Alteryx, Microsoft Fabric, and Power BI
• Knowledge of Private Credit, Leveraged Finance, or Asset Management
• Familiarity with DealCloud

Why Apply?

• Opportunity to build systems that directly influence investment decisions
• Work at the intersection of data engineering, machine learning, and finance
• Join a lean, high-impact team with strong growth ambitions
• Play a key role in shaping the future of data within the organisation