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Greater London, England, United Kingdom
Hybrid
Data Engineer
London (Waterloo) · Full-time · Hybrid, three days per week in the office
At GetGround, our mission is to make property investment safer, faster and more accessible for everyone.
We’ve built an all-in-one property investment platform that supports investors from opportunity analysis and company formation through to financing, accounting and portfolio management. By bringing software, data and specialist services into one experience, we make property investing simpler, clearer and more cost-effective.
We’re now building the intelligence layer that will help investors understand opportunities, make better decisions and manage their portfolios. We bring together detailed knowledge of our customers’ investments, services such as mortgages, lettings and insurance, and a team that lives and breathes property.
We’re turning our property expertise into an intelligence layer that can scale. That starts with a data platform: selecting trusted sources, keeping information current and making it useful to our products and AI agents.
We’re looking for someone to own that foundation.
You’ll define and build the data platform that powers GetGround’s intelligence layer. This is a hands-on role with substantial architectural ownership: choosing how we ingest, structure, curate and serve data, while improving the foundations we already have.
The scope goes beyond integrating with APIs. You’ll build ways to ingest unstructured policy updates, regulatory guidance and published documents, turning them into reliable data our intelligence layer can use.
You’ll work closely with engineering, product and our property experts to turn domain knowledge into useful data. You’ll also design for international expansion, so entering each new market builds on a shared platform.
There’s an opportunity to influence how we build our data organisation over time, including the capabilities, standards and future hires we need.
Own data as a product. Start with the decisions our customers and AI agents need to make, then work backwards to the data required. Judge success by the usefulness and reliability of what you enable.
Be opinionated about sources and quality. Work with our property experts to identify the most valuable datasets and assess their authority, coverage, freshness and limitations. Establish clear standards for what enters the platform and how conflicting information is handled.
Build ingestion beyond APIs. Develop reliable pipelines for structured datasets, external APIs, documents and published guidance. Ingest updates from sources such as HMRC and other relevant authorities, detecting changes promptly and turning them into usable, traceable data.
Make data usable by our intelligence layer. Structure and serve information so our products and AI agents can retrieve the right facts in context. Preserve source provenance, geographic scope and effective dates so consumers can distinguish current information from historical or superseded guidance.
Design for international expansion. Build shared models and ingestion patterns that accommodate differences in property markets, tax systems and regulation. When we expand geographies, we want to go at speed, without rebuilding the platform.
Own reliability throughout the lifecycle. Build monitoring, validation and recovery into ingestion, transformation, storage and serving. Know what is stale, missing or incorrect, understand the customer impact and address the root cause.
Set the technical direction and deliver it. Make clear trade-offs between immediate product needs and long-term architecture. Ship useful improvements early, document decisions and help shape the standards and future team needed to support the platform.
Experience owning substantial data systems. You’ve designed, built and operated production data platforms or major parts of them, and can explain the architectural decisions you made and their consequences.
Strong engineering fundamentals. You bring strong SQL, data modelling and production programming skills, with practical experience in orchestration, testing, deployment and operating reliable pipelines.
Judgment about the data itself. You can evaluate whether a source is fit for a particular use, reconcile inconsistent information and make uncertainty or gaps visible to downstream consumers.
Experience with messy external sources. You’ve handled inconsistent formats, changing schemas, incomplete records, rate limits and integration failures. You’re comfortable working beyond clean, well-documented APIs.
A product mindset. You care about the decisions your data supports. You can work with domain experts and product engineers to translate an ambiguous need into a useful data product.
Architectural ownership. You can review an existing system, establish a direction and deliver improvements incrementally. You understand access controls, privacy and the responsibilities that come with combining customer and external data.
Clear communication and initiative. You surface problems early, write down decisions and challenge assumptions constructively. You’re comfortable making progress without a fully specified ticket.
Experience building data foundations for AI products, including retrieval, document processing or evaluating the quality of information supplied to agents.
Experience modelling policy or regulatory information, including versioning and effective dates.
Experience with property, financial services, geospatial data or international datasets.
Familiarity with GCP, where we run our infrastructure, and experience working alongside backend engineering teams.
Experience establishing data standards or helping build a data team.
You just want to keep the pipelines running. You’ll need to care about which data we use, whether it can be trusted and how it improves the decisions our products support.
You want a fully specified architecture to implement. We need someone who can assess what exists, challenge assumptions and take ownership of the technical direction.
You only want to work with clean, structured data. Important information arrives through documents, policy announcements and inconsistent external sources. Making it usable is part of the job.
You want to stay removed from the product or domain. You’ll work closely with product engineers and property experts. Understanding what the data means and how it is used is essential.
You don’t connect with how we work. Our values—No BS, pursuit of excellence, feedback obsessed and healthy ego—mean communicating directly, holding a high bar, seeking feedback and being willing to change your mind.
Own a data platform central to GetGround’s next phase of product development.
Turn deep property expertise into intelligence that helps real investors.
Work on challenging problems across customer data, property information, AI and regulated services.
Shape the architecture for international expansion and help build our future data organisation.
Competitive salary and meaningful equity.
Hybrid London working, with three days per week in Waterloo.
Benefits include private health and dental cover, a learning budget, a home-office setup budget and 12 mental health days per year.
What we are building: The first end-to-end real estate investment offering - making the dream of owning real estate more accessible to everyone globally.
Diversity & inclusion at GetGround: We encourage applications from all sections of society and we believe in the criticality of an inclusive culture. We are committed to equal employment opportunity regardless of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity or any other basis as protected by law.
42% of our employees identify as female or non-specified, 58% as male
22 nationalities represented across offices in 5 countries
Our work on Design Accessibility
Inclusion is at the heart of our culture - we celebrate and reflect on key D&I and cultural events such as: Black History Month, International Women's Day and Pride
For more information on how we store your candidate data, please see our recruitment privacy policy.
