Senior Data Engineer

Lead & Senior Data Engineers | Python, Vector Databases & AI Data Pipelines | Early Engineer at an AI Platform

Lead Engineer Salary: £80,000 - £110,000

Senior Engineer Salary: £70,000 - £100,000

Equity after probation

Location: Victoria, central London. 4 days a week on-site, Wednesdays from home

There's a particular kind of frustration that comes from watching an entire industry run on spreadsheets, phone calls and email chains long after the technology to fix it exists. That's the gap this company is closing. They've built an AI assistant that takes over the operational grind for property managers, letting agents and build-to-rent teams: the compliance chasing, the maintenance coordination, the scheduling, the endless admin that eats up most of a property manager's week. Pilot customers are already live across thousands of units, and the feedback has been strong enough that the business is now gearing up for its next funding round.

The team sits at 20-30 people globally, with engineering at around 13 and mostly remote outside the core London group. It's a flat set-up: leads are simply the engineers who've earned it, and everyone reports into the Head of Engineering. Data hasn't had a dedicated owner yet, and you'd be joining right at the point where that's being built, working alongside the team defining the architecture rather than dropping into something already set in stone.

Day to day you'll be building and scaling the systems behind the AI product: real-time pipelines, analytics infrastructure, vector databases and the data workflows that feed the machine learning side of the platform. You'll work closely with the AI and backend engineers to make sure the platform can handle serious volumes of operational data reliably, and you'll have real input into the tooling and technical decisions as the function takes shape.

What They're Looking For:

5+ years in data engineering or backend engineering

Strong track record designing and building data pipelines and distributed data systems

Relational databases (PostgreSQL preferred, MySQL or similar acceptable)

NoSQL databases

Vector databases used in modern AI systems

Strong Python

What You'll Work With:

Apache Spark

Apache Airflow

Kafka

Elasticsearch / OpenSearch

MongoDB

Vector databases such as Qdrant, Milvus or pgvector

Pandas and Polars

Nice to Haves:

JavaScript / Node.js alongside Python

Experience on AI or machine learning platforms

Stream processing and event-driven architectures

Cloud infrastructure (GCP, AWS or Azure)

Time in a high-growth startup or early-stage company

Why Join / Projects:

You're joining at the point where the data function still has more questions than answers, which means your fingerprints end up on the actual architecture rather than just the code that runs on top of it. You'll get real exposure to the AI and ML side of the business through the vector search and retrieval work, not just traditional pipeline building, and you're close enough to the founders and core engineering team that good ideas don't get lost in layers of process.

If either of these roles sound like something you’d be interested in, please apply!

Senior Data Engineer | Python, Vector Databases & AI Data Pipelines | Early Engineer at an AI Platform