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Lead Data Engineer at LightWork AI

Are you ready to own the data layer for a category-defining AI platform? This London-based startup is automating the £33B property management industry with an autonomous AI agent already managing 14,000 units. As the first Lead Data Engineer, you'll report to a Head of Engineering who has scaled departments to 140 people and through $35M rounds. You will move the product from static data to dynamic, real-time intelligence by building the pipelines and vector infrastructure that power Felicity's brain. If you're a Python expert who thrives on building from scratch, this foundational role offers massive equity and the chance to shape the future of PropTech.

About this role

Role overview

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.

About the company

LightWork AI

LightWork AI

AI25 employeesLondon, United Kingdom

AI property operations startup automating the £33B property management market

What you'll do

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.

Who you are

Who this is a fit for

  • 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.

Why this role

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.

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