Senior Data Engineer

London | Full‐time | High‐autonomy, high‐impact role

A leading private equity real estate firm is hiring a Senior Data Engineer to sit directly within the Investment Team, reporting to the Head of Research & Technology. This is a role for someone who wants ownership, pace, and the ability to materially shape how investment decisions are made.

You will own the full data and analytics engineering stack — from ingestion through to modelling, governance, automation and AI‐driven workflows. This is not a narrow pipeline role; it’s an opportunity to architect, build, and scale the firm’s next‐generation research and investment technology.

• End‐to‐end ownership of the data platform: ingestion, storage, modelling, and consumption layers
• Definition and enforcement of data governance, lineage, access controls, and quality frameworks
• Conversion of complex Excel‐based financial and research models into maintainable, tested Python logic
• Development of reusable analytical libraries covering real‐estate metrics and investment KPIs
• Build and maintenance of CI/CD pipelines, scheduling infrastructure, and observability dashboards
• Automation of workflows across research, investment, finance, and asset management
• Design and deployment of agent‐based and multi‐agent AI workflows to support investment decision‐making
• Full lifecycle delivery of new technology initiatives — from scoping to production
• Close collaboration with non‐technical stakeholders to translate commercial needs into technical solutions

This role is not for someone seeking a defined‐scope, 9‐to‐5 engineering job. You’ll thrive here if you want:

• High autonomy and ownership
• A fast‐moving environment where priorities shift
• Direct exposure to investment, research, and senior leadership
• The ability to build foundational systems rather than maintain legacy ones

• Strong Python engineering background
• Experience building data platforms, pipelines, and governance frameworks
• Comfort converting business logic from spreadsheets into production‐grade code
• Exposure to real estate, private markets, financial modelling, or investment analytics (nice to have, not essential)
• Experience with AI/agent workflows is a bonus