Data & AI Platform Engineer — Own a Core Platform (Hybrid)

Homesearch; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

MacBook

On-site gym & wellness facilities

Hybrid work 2–3 days in London office

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Job summary

Homesearch is building the intelligence layer to connect people, homes and agents through data and AI. You’ll join a strong Data & AI team to scale our data and AI platform, handling billions of data points and images, driving reliable pipelines, and enabling AI models for estate agents across the UK.

This is a hands-on, hybrid role in London, with modern data stacks and production-grade systems. You’ll influence architecture, improve performance, and collaborate with data scientists and senior

Qualifications

• Proficient in Python, Java, Go, Scala, C#, TypeScript and SQL for production-grade data pipelines and AI workloads.
• Experience building and maintaining scalable data platforms with cloud infrastructure and IaC.
• Strong understanding of data models, data contracts and data governance for large datasets.

Responsibilities

• 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.
• 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.

Skills

Python

Java

Go

Scala

TypeScript

C#

SQL

Data pipelines

Cloud platforms

CI/CD

Containers

Serverless

PostgreSQL

MySQL

Elasticsearch

OpenSearch

AI/ML

Data contracts

Data governance

Security

Tools

AWS

Azure

GCP

Terraform

Kubernetes

OpenSearch

Elasticsearch

PostgreSQL

MySQL

Job description

Homesearch is building the intelligence layer to connect people, homes and agents through data and AI. You’ll join a strong Data & AI team to scale our data and AI platform, handling billions of data points and images, driving reliable pipelines, and enabling AI models for estate agents across the UK.

This is a hands-on, hybrid role in London, with modern data stacks and production-grade systems. You’ll influence architecture, improve performance, and collaborate with data scientists and senior