Data Engineer, Real Estate Intelligence
Location not statedJobPosted 1 day agoStill listed today
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Job overview
Smart Bricks is building intelligence infrastructure for real estate, and this role turns fragmented, inconsistent, local data into infrastructure AI agents can reason over. The Data Engineer will build global ingestion pipelines, normalize real estate and market datasets, develop entity-resolution systems, and create structured intelligence layers. The work also includes data quality and provenance systems, dataset integration, and making previously unusable information machine-readable.
Skills & qualifications
Skills
Full job description
Smart Bricks is the applied AI lab for real estate. We are building the intelligence infrastructure for the world’s largest asset class. Our platform combines four intelligences: Company Brain, Real Estate Intelligence, Market Intelligence and Specialist Agents, with Financial Engines under the agents. We operate globally across Dubai, London and San Francisco, bringing together exceptional people from AI, engineering, real estate and finance. We care more about exceptional ability, rate of learning and ownership than conventional credentials.
The role Real estate data is fragmented, inconsistent and intensely local. Your job is to turn it into infrastructure AI agents can reason over.
What you’ll do
- Build pipelines ingesting real estate data globally
- Normalise transactions, properties, leases, ownership and market datasets
- Develop entity-resolution systems
- Create structured intelligence layers for AI agents
- Build data quality and provenance systems
- Integrate licensed, public and proprietary datasets
- Work on Market Intelligence, country by country
- Make previously unusable real estate information machine-readable
What we’re looking for
- Strong data engineering fundamentals
- Python and SQL expertise
- Experience with large-scale ETL/ELT systems
- Understanding of data modelling and entity resolution
- Experience working with messy real-world datasets
- High standards for data quality and provenance
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