Data Engineer, Real Estate Intelligence

Smart Bricks; Dubai; On-site; AED 360,000 - 600,000; Full time

Job summary

Smart Bricks is an applied AI lab for real estate. You will turn fragmented, local data into infrastructure AI agents can reason over, building pipelines that ingest real estate data globally and normalising diverse datasets across countries.

You will develop entity-resolution systems and data quality controls, creating structured intelligence layers for AI agents and facilitating access to licensed, public, and proprietary datasets.

Qualifications

• Strong data engineering fundamentals
• Proficiency in Python and SQL
• 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

Responsibilities

• 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

Skills

Data engineering

Python

SQL

ETL/ELT

Data modelling

Entity resolution

Data quality

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