Senior Data Engineer – Private Equity Real Estate (Investment Team)
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.
The mandate
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.
What you’ll lead
- 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
Who this suits
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
Ideal background
- 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
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