Arrows
Senior Data Engineer (Founding Team)
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Senior Data Engineer (Founding Platform Lead)
Our client is a private, entrepreneurial, family owned real estate platform with a multi billion pound property portfolio and private credit book. They're building their first proper tech function from scratch, and this is the founding hire to lead it.
This is a founding level hire. You'll take on a high ownership role, defining the technical roadmap and building the data platform that connects a business that has never had one, shaping how the organisation runs going forward rather than maintaining someone else's system.
What they need built
- A robust data model acting as a single source of truth, reconciling properties, entities, leases, tenants, projects, invoices, cash flows, valuations and documents across multiple data sources.
- Integrations with third party vendors via APIs, webhooks, database access and scheduled ingestion.
- Automation that eliminates repetitive manual work across data collection, validation, approvals, reconciliation, reminders, document generation and reporting.
- Dashboards, reports, alerts and internal applications that principals and operating teams can actually trust and use.
- LLM pipelines for extraction, classification, retrieval and workflow support, built with evals, human in the loop oversight and auditability.
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How you'd work
- With genuine autonomy, balancing a robust platform architecture against rapid delivery.
- Setting the standards for security, testing, deployment, monitoring and documentation as you go, since none currently exist.
- Managing selected vendors and building the engineering culture from the ground up.
- Mentoring a junior data engineer as the team grows.
- Close to the business, handling financially sensitive, personal and commercially confidential information with mature judgement in a regulated environment.
What they need
- A strong record of building and operating reliable pipelines, integrations, data models or platforms serving real users and business critical decisions.
- Strong programming fundamentals in Python, TypeScript and SQL, with the ability to review and maintain a high quality bar for other contributors' code.
- Confidence building robust REST APIs, working with relational databases such as PostgreSQL, modelling data, building ETL/ELT pipelines, and making pragmatic build versus buy calls.
- Experience deploying production systems on AWS, Azure or GCP, including monitoring, secrets management, access control, backups and disaster recovery.
- Experience with production LLM pipelines, covering context engineering, evaluation, retrieval, tool use and guardrails.
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Nice to have
- 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, BI platforms and internal web applications.
- Experience taking a platform from prototype to production, or working in an early stage company with a rapidly evolving product.
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