Lead Data Engineer at AI property operations startup

As the first senior data hire, you will architect the production infrastructure powering a sophisticated AI agent. You'll build the real-time pipelines and dynamic data layers that allow the LLM to query live tenancy records and maintenance history, directly determining the automation rate of a platform already managing over 14,000 units.

• Architect and maintain real-time data pipelines (Kafka/Debezium) integrating with major property management systems like Alto, MRI, and Reapit.
• Design and implement scalable infrastructure for vector search, retrieval (RAG), and data modeling for both structured records and unstructured document extraction.
• Define the AI data contracts and schemas that serve as the world model for the LLM layer, ensuring production-grade reliability and uptime.

• Has 7+ years of experience in data or backend engineering, with a proven track record of building production systems that AI/ML models depend on.
• Proficiency in Python and SQL, with deep experience in relational databases (PostgreSQL), NoSQL, and modern orchestration tools like Airflow or Spark.
• Possesses a reliability-first mindset and experience in high-growth startups, comfortable building from scratch and navigating the ambiguity of early-stage environments.

• Lead a greenfield opportunity as the foundational data hire, reporting directly to a Head of Engineering who previously built a 140-person data department through a $35M Series B.
• Impact a high-growth startup already closing major enterprise deals and scaling toward significant revenue in a massive, underserved UK market.
• Work at the cutting edge of AI, moving beyond static knowledge bases to build a dynamic, real-time world model for autonomous property agents.