Job Title
Lead Data Engineer
Salary
Not Disclosed
Company Description
AI property operations startup automating the £33B property management market
Job Description
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.
Location
London, UK
Why this role is remarkable
- 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.
What You Will Do
- 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.
The ideal candidate
- 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.
Job Title
Lead Data Engineer
Salary
Not Disclosed
Company Description
AI property operations startup automating the £33B property management market
Job Description
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.
Location
London, UK
Why this role is remarkable
- 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.
What You Will Do
- 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.
The ideal candidate
- 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.
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