As the first senior data hire at LightWork AI, you will architect the end-to-end data layer powering Felicity, our autonomous AI agent. You’ll build real-time pipelines and dynamic data models that allow our AI to query live property records, fundamentally transforming how the £33B property management industry operates.
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Lead Data Engineer at LightWork AI
LightWork AI is hiring its first Lead Data Engineer to architect the data backbone of an AI platform automating the £33B property management industry. This is a high-impact, greenfield opportunity to define the data architecture for a company targeting 90% automation in property operations, offering meaningful equity and a direct line to the founders as you build the category-defining platform for property operations.
About this role
Role overview
About the company
AI25 employeesLondon, United Kingdom
LightWork AI is automates property operations (compliance, maintenance, lettings and tenant support) through Felicity, an AI assistant that can handle up to 80% of admin tasks autonomously. Designed for the UK’s property industry, LightWork AI delivers enhanced capacity, reduced admin costs and zero missed communications for property management & lettings agencies; giving tenants the confidence that their homes are safe, compliant and their needs are always met.
What you'll do
What you will do
- Architect and maintain real-time data pipelines (Kafka, Debezium) integrating diverse Property Management Systems like Alto, MRI, and Reapit.
- Design resilient data models and schemas for complex property data, defining how live information is structured and served to the LLM layer.
- Develop knowledge extraction pipelines to pull valuable signals from unstructured sources including emails, legal documents, and PDFs.
Who you are
Who this is a fit for
- 7+ years of data or backend engineering experience, specifically building scalable distributed systems and real-time data pipelines (Kafka, Spark, or Airflow).
- Expert proficiency in Python and SQL, with deep hands-on experience in PostgreSQL, NoSQL databases, and managing data processing performance at scale.
- Architectural expertise in designing data ingestion and storage frameworks for AI workloads, including vector databases and ML data pipelines.
Why this role
Why this role is remarkable
- Lead greenfield data engineering for an AI platform managing 14,000+ units, reporting to a Head of Engineering who previously built a 140-person data department.
- Own the end-to-end data layer for "Felicity," an autonomous agent automating 90% of operations in the £33B property management market.
- Join at a pivotal early stage with meaningful equity and the opportunity to define the technical architecture and long-term data strategy.
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
How does this work?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If it’s a match and the company wants to meet you, they’ll make the intro. In the meantime, if you’d like, Jack will send you excellent alternatives.