Homesearch on cord

Homesearch

Data & AI Platform Engineer

External position
London, UK
Hiring internally for Homesearch?
Real Estate · PropertyTech
Unlock market insights, secure new listings, turn your existing contacts into instructions.
Posted
3 weeks ago
Checked
cord regularly checks that external positions are still open
4 hours ago

Skills & Experience

Job roles: Data Engineer
Experience level: Senior
Core skills considered: Python, Java, Scala, SQL, Data Pipelines
Other skills considered: Cloud Computing, AWS, Azure, CI/CD, Automated Testing

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

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.

Company Benefits

  • A unique opportunity to collaborate closely with the CEO and be a key player in growing our Enterprise client base.
  • Join a collaborative, forward-thinking team where your expertise and ideas shape the future of PropTech.
  • Competitive salary and benefits package.
  • Flexible hybrid working arrangements with an inclusive culture.
  • Our core values are bring positive energy, act with integrity, take responsibility, be supportive, be open to change and we are one team.
Data & AI Platform Engineer at Homesearch
Position posted 3 weeks ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
Alex Yeates on cord
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