Lead Data Engineer

Burns Sheehan
UK
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£95,000.0 - £105,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services BigQuery Information Engineering Python (Programming Language) PostgreSQL Software Product Management SQL Databases Data Streaming Core Data Apache Kafka

Job description

Founding Data Engineer Fast-Growing Tech Scale-Up £95-105K

We’re 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: you’ll own the core data architecture the AI product is built on, not maintain someone else’s 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 We’re 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 ā€œbuilderā€ 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

What’s On Offer

  • Up to Ā£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 ā€œbuilderā€ 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 Ā£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

We’re 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: you’ll own the core data architecture the AI product is built on, not maintain someone else’s pipelines.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.burnssheehan.co.uk

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