Data & AI Platform Engineer

Story Terrace Inc.; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Performance bonus

Share options

MacBook provided

Hybrid London office

Gym & yoga on-site

Job summary

Homesearch is building a scalable data and AI platform to power its property technology services for estate agents across the UK. You will join a strong Data & AI team to automate data pipelines, strengthen platform foundations and ship production-grade AI models.

This hands-on role sits in a cloud environment with cross-functional collaboration. The team focuses on reliable, high-performance services and working closely with data scientists to turn ambitious AI ideas into production-ready

Qualifications

• Strong production data platform experience.
• Experience with ingestion, transformation and data serving.
• Ability to design and defend architectural decisions with evidence.

Responsibilities

• Build and scale data and AI platforms behind property tech services.
• Work hands-on across codebase, data pipelines, databases and cloud infrastructure.
• Improve performance, scalability, reliability and cost efficiency.
• Define canonical data models, data contracts and shared identifiers for properties, addresses, listings and agents.
• Develop automated testing, deployment, observability, recovery and rollback capabilities.
• Collaborate with data scientists, product teams and senior leaders to translate business priorities into pipelines.
• Create reusable components and patterns for engineers to work safely and independently.

Skills

Python/Java/Go

SQL

Cloud platforms

Infrastructure as Code

CI/CD

Containers

Data pipelines

Data platforms

AI/ML workflows

Tools

PostgreSQL

MySQL

Elasticsearch

OpenSearch

PHP

Git

Job description

About Us

Every year, hundreds of thousands of homeowners could move but don't, and homes that could sell never reach the market. The property market is slower and more closed than it should be. Homesearch is building the intelligence layer that gets it moving, connecting people, homes and agents through data and AI. Our vision is a fully connected, faster, more open property market.

We're one of the UK's leading PropTech platforms for estate agents, helping them win more listings, understand their local market, and turn existing contacts into new instructions. Our products, including HAILO and ReContact, are picking up real momentum and fast becoming tools agents know and trust. We're a trusted partner to Reapit, Dezrez, Rex, MRI and other leading CRMs, and we're on our way to One Homesearch: a single, unified platform rather than a collection of tools.

About the Role

Each of our products runs on property data. Billions of structured data points across properties, addresses, listings, agents and market events, plus hundreds of millions of images, floorplans and other property assets. It arrives through multiple feeds and acquisition methods, each with different freshness, completeness and reliability, and it changes constantly. It serves both live customer products and our AI and ML workloads. That data platform is the company.

The hard part is making that trustworthy: resolving inconsistent records into reliable property, address, listing and agent entities, keeping it fresh as the market moves, and serving it economically to live products, search and production AI from one platform.

You'll join a strong team of engineers and data scientists to build and scale the next generation of Homesearch's data and AI platform. Working with large property datasets, you'll automate and improve data pipelines, strengthen our platform foundations, and build reliable, high-performance services. Your work will help the wider team ship safely and quickly, while enabling our data scientists to develop production-grade AI models that power products used by estate agents across the UK.

You'll sit in our Data & AI team, working alongside two data engineers and reporting to Dan Guo, our Head of AI and Data, who worked on AI, data and Copilot at Microsoft and led data at SwiftKey before joining us. You'll work with him closely on the architecture: challenging decisions, shaping them, and turning ambitious AI ideas into systems that hold up in production.

This is a hands-on role. You'll be in the code, the pipelines, the databases and the cloud infrastructure, and you'll have real say in what the platform becomes.

What You'll Do

• Build high-performance data and AI platforms behind our property technology services, spanning cloud infrastructure, data pipelines and production AI models.


• Work hands-on across the codebase, data pipelines, databases and cloud infrastructure to improve performance, scalability and reliability.


• Assess existing systems against real requirements, including performance, freshness, reliability, security and cost, and shape a practical plan for change.


• Modernise constrained legacy components incrementally, behind documented interfaces, without disrupting production.


• Improve how we acquire, ingest and serve data across feeds with different formats, freshness and reliability.


• Define canonical data models, shared identifiers and data contracts for the entities everything depends on: properties, addresses, listings, agents.


• Make large volumes of property assets, including images and floorplans, usable by our products and AI workloads.


• Build automated testing, deployment, observability, recovery and rollback into the platform.


• Create reusable components, templates and documented patterns so other engineers can work independently and safely.


• Share what you know through documentation, code review and hands-on work with our data, software and AI/ML engineers.


• Work closely with data scientists, product teams and senior leaders to translate business priorities into high-performance data pipelines and platform capabilities that deliver measurable value.

About You

• You write, test, debug and explain production code, in Python, Java, Go, Scala, C#, TypeScript or similar, and your SQL and relational modelling are strong. You stay accountable for code you built with AI assistance.


• You've built and run modern data platforms: ingestion, transformation, orchestration, batch or streaming, and data serving, with a real grasp of operational databases, object storage, lakehouses and data contracts.


• You have deep production experience on at least one major public cloud (AWS, Azure or GCP), using Infrastructure as Code, CI/CD, automated testing, containers or serverless.


• You've modernised legacy systems incrementally, made architecture decisions you can defend with evidence, and built patterns that cut manual work and reduce reliance on any one person.


• You own production reliability: monitoring, alerting, incident investigation, recovery, performance and cloud cost.


• You've handled security, governance and data quality properly: access management, secrets, encryption, audit logging, lineage and cataloguing.


• You've supported data scientists and ML engineers, and you're comfortable with large datasets.


• You use AI-assisted engineering tools where they improve development, testing, documentation or troubleshooting, while remaining accountable for the quality, security and correctness of what you ship.


• You're collaborative and you listen. You respect what people already know about the systems and the domain.


• You're open to changing your mind when the evidence changes, and open to learning things you haven't done before. We rate this above years of experience.


• You take initiative, hold a high bar, and think architecturally rather than only executing tasks.


• You've worked at real data volume, somewhere that had to scale, and you're comfortable when priorities and constraints move.

Extra points for:

• Building or running web-scraping and data-acquisition systems.


• Experience with PostgreSQL, MySQL or PHP based services.


• Supporting data platforms used by both live products and AI/ML workloads.


• Property, listing or other entity-resolution data.


• Search and indexing: Elasticsearch, OpenSearch or similar.


• LLMs, RAG, AI agents and the major AI application frameworks.

How We Work

Our values run through everything we do. Remove Friction: make everything seamless. Stay Curious: ask, learn, improve. Own It: take the lead, own the result. Raise the Bar: think big, deliver value. We're high performers who care about the mission and each other. High standards, open communication, and no room for ego or politics.

Compensation, Perks & Benefits

• Competitive salary, plus a performance bonus and share options, so you share in the upside you create.


• 25 days holiday plus bank holidays.


• A MacBook to work on.


• An office with a free on-site gym, free yoga and gym classes, sauna and regular events.


• Hybrid working, 2 to 3 days a week at our office in London Victoria.


• The chance to own the data platform a whole company is built on, at a fast-growing PropTech at a real turning point.