Lead Data Engineer
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Role details
Tech stack
Job description
| Founding Data Engineer | Fast-Growing Tech Scale-Up £95-105K |
Weāre working with a well-capitalised AI startup automating large parts of the property management lifecycle - tenancy, maintenance, resident comms - via an agentic AI layer on top of a modern data platform. Pre-revenue but converting its first major enterprise pilots to paid imminently, including a client representing a meaningful share of the market. Well-backed with a healthy runway and no near-term pressure to raise.
This is a builder role: youāll own the core data architecture the AI product is built on, not maintain someone elseās pipelines.
The Role
- Own and build the core data platform architecture end-to-end
- Design a real-time streaming architecture using Kafka - batch-free environment
- Work extensively in Python
- Build and maintain infrastructure across Postgres and BigQuery
- Lead integration work as new enterprise clients onboard - a constant, high-visibility workstream
- Provide technical (not people) leadership as the engineering team scales
What Weāre Looking For
- Strong hands-on Python (non-negotiable)
- Real-time/streaming experience with Kafka or equivalent
- Postgres and BigQuery experience (or equivalent SQL/warehouse tooling)
- Comfortable on GCP or AWS
- Genuine ābuilderā mindset - owns architecture, drives decisions
- Strong commercial awareness - ties data decisions to business outcomes
- AI-in-product experience a strong plus
- Comfortable with startup intensity and 4-day in-office culture
Whatās On Offer
- Up to £120,000 base + equity equivalent in value to salary
- A foundational data platform build from an early stage, with growth into Principal Engineer or Head of Data Engineering
- Backing from a well-resourced investor base with a long runway
Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.
Requirements
- Strong hands-on Python (non-negotiable)
- Real-time/streaming experience with Kafka or equivalent
- Postgres and BigQuery experience (or equivalent SQL/warehouse tooling)
- Comfortable on GCP or AWS
- Genuine ābuilderā mindset - owns architecture, drives decisions
- Strong commercial awareness - ties data decisions to business outcomes
- AI-in-product experience a strong plus
- Comfortable with startup intensity and 4-day in-office culture
Benefits & conditions
- Up to £120,000 base + equity equivalent in value to salary
- A foundational data platform build from an early stage, with growth into Principal Engineer or Head of Data Engineering
- Backing from a well-resourced investor base with a long runway
Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.
About the company
Weāre working with a well-capitalised AI startup automating large parts of the property management lifecycle - tenancy, maintenance, resident comms - via an agentic AI layer on top of a modern data platform. Pre-revenue but converting its first major enterprise pilots to paid imminently, including a client representing a meaningful share of the market. Well-backed with a healthy runway and no near-term pressure to raise.
This is a builder role: youāll own the core data architecture the AI product is built on, not maintain someone elseās pipelines.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.burnssheehan.co.ukGood distractions
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