Job ID:
57019
Published date:
25/08/2026
Summary
Senior Data Engineer
Build the data platform for a multi-billion-pound real estate group.
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LOCATION London |
EMPLOYMENT Full-time |
EXPERIENCE Typically, 5+ years |
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COMPENSATION Competitive |
START DATE ASAP |
DEADLINE 20 September 2026 |
The opportunity
We are a private, entrepreneurial family-owned real estate platform with a multi-billion-pound property portfolio and private credit book.
The first leg of this role will revolve around building the data platform to connect a variety of specialist domains including property management, asset management and accounting.
Your role
- Identifying and translating the organisation's highest-value problems into a technical roadmap, balancing building a robust platform architecture with rapid delivery.
- Designing a robust data model to operate as a single source of truth and the pipelines to store and reconcile properties, entities, leases, tenants, projects, invoices, cash flows, valuations and documents across multiple data sources.
- Building integrations with third-party vendors using a variety of modalities including APIs, webhooks, database access, scheduled data ingestion.
- Eliminating repetitive manual tasks across internal workflows from data collection, validation, approvals, reconciliations, reminders, document generation and reporting.
- Deliver dashboards, reports, alerts and internal applications that principals and operating teams can trust and use.
- Build LLM pipelines for extraction, classification, retrieval and workflow support, with evals, human-in-the-loop oversight and auditability.
- Set standards for security, testing, deployment, monitoring and documentation.
- Manage selected vendors; and building the engineering culture.
- Possibly mentor the junior data engineer.
What we are looking for
- A strong record of building and operating reliable pipelines, integrations, data models or platforms that serve real users and business-critical decisions.
- Strong programming fundamentals in Python, Typescript and SQL. Expert working knowledge, including testing, performance, maintainability and the ability to review and maintain a high-quality bar for other contributor code.
- Confidence building robust REST APIs, working with relational databases (e.g. PostgreSQL), modeling data, ETL/ELT pipelines, and making pragmatic choices between build vs buy.
- Experience deploying production systems in AWS, Azure or GCP, whilst accounting for monitoring, secrets management, access control, backups and disaster-recovery needs.
- Experience with production LLM pipelines, context engineering, evaluation, retrieval, tool use and guardrails.
- Mature judgement when handling financially sensitive, personal and commercially confidential information in a regulated industry.
- The ability to set direction, mentor a junior colleague and introduce engineering discipline while remaining practical, fast and close to end users.
- Curiosity about how internal tools can be abstracted and generalized into a product.
Helpful, but not essential
- Experience in proptech, fintech, accounting technology, asset management, construction, private investment operations or another data-intensive regulated environment.
- Familiarity with modern data warehouses, transformation and orchestration tools, business-intelligence platform and internal web applications.
- Experience taking a platform from prototype to production or working in an early-stage company with a rapidly evolving product.
- Document processing, OCR, search, retrieval systems, workflow engines or human-in-the-loop review tools.
- UK data-protection, information-security and operational-resilience principles.
Confidentiality and inclusion
- Appointment will be subject to appropriate references, background checks and a confidentiality agreement. We welcome applicants from different backgrounds whose skills and evidence meet the requirements, and reasonable adjustments are available throughout the process.