Real Estate Data Strategy and Architecture
Reference architectures, maturity assessments and multi-year data platform roadmaps.
Data engineering from a team that lives inside real estate.
Logiciel builds data platforms and pipelines for real estate companies. Brokerages, REITs, CRE operators and PropTech. MLS feeds, property management, leasing, accounting, CRM and IoT data, delivered by engineers who work exclusively in real estate data. We work alongside your data, finance, operations and product teams to build a platform that real estate operations and PropTech products can rely on.
Real estate data has its own language and its own systems.
We give real estate teams a data partner that does not need to learn real estate on your time.
A long-running team of data engineers, analytics engineers and platform engineers embedded in your data function.
Senior data architects with real estate experience who reinforce your internal team during specific build phases.
Fixed-scope projects, for example unifying property management and accounting data, or building investor reporting on a lakehouse.
Reference architectures, maturity assessments and multi-year data platform roadmaps.
Master data work for properties, units, leases and tenants.
Ingestion, normalisation and modelling for MLS, brokerage CRM, property management, leasing and accounting platforms.
Lakehouse-based reporting for funds, portfolios, assets and investor disclosures.
Pipelines and models for energy, occupancy, maintenance and tenant experience data.
Stable, contracted data products for PropTech apps and AI features.
Freshness, volume, schema and quality monitoring with SLAs and on-call.
On-call, observability, FinOps and continuous improvement for real estate data platforms.
Patterns from our data engineers that have run through real real estate deployments.
Real Estate Lakehouse Reference Architecture
A practical lakehouse pattern that supports operations, finance and PropTech products on the same governed platform.
Property and Lease Master Data Pattern
A reference for resolving property, unit, lease and tenant identity across operational and financial systems.
Ready to make Data Engineering for Real Estate for Real Estate a reliable foundation for analytics, AI and operations? Partner with Logiciel to design, build and operate Data Engineering for Real Estate for Real Estate that engineering, security and business teams can all defend.
We cover strategy, architecture, build, deployment and operations for Data Engineering for Real Estate for Real Estate, aligned with your business priorities and operating constraints.
Most engagements reach a working pilot within 4-8 weeks, while larger rollouts run across phased waves over several months.
Yes. We integrate with cloud platforms, CRMs, ERPs, EHR, OT systems, analytics tools and other operational infrastructure depending on the use case.
Yes. We offer milestone-based pricing once scope, KPIs and delivery requirements are agreed.
You retain ownership of all workflows, integrations, prompts, infrastructure, systems and implementation assets.
We implement governance frameworks, observability, access controls, audit trails and compliance-aligned deployment practices.
We tune infrastructure, automate resource management, optimise deployment workflows and report operational cost back to teams and product lines.
Yes. We run managed operations with SRE, observability, on-call and continuous improvement.