MLS, Listings and Market Data Pipelines
Ingest and normalise MLS feeds, listing platforms, market comps, public records and third-party market data.
Turn property data into something your business can actually use.
Logiciel builds data platforms and pipelines for real estate operators, REITs, brokerages and PropTech companies. We bring MLS feeds, CRM, property management systems, leasing platforms, finance and IoT data into one place that finance, ops and product can rely on.
Real estate data lives in more systems than any other industry we work with.
We give real estate teams a data platform built around how your business actually works.
We work across the high-value data problems in real estate. The right pattern depends on your operating model.
Ingest and normalise MLS feeds, listing platforms, market comps, public records and third-party market data.
Pipelines for Yardi, MRI, Entrata, RealPage, AppFolio, Buildium and similar platforms, with unified property and unit identifiers.
Salesforce, HubSpot, brokerage CRM and lead source integrations with attribution and pipeline analytics.
Integration with accounting systems, fund administration and investor reporting, with a single set of numbers across operations and finance.
Pipelines for HVAC, energy, access, occupancy and tenant experience data from building systems and IoT platforms.
A lakehouse on S3 or Azure Data Lake with Iceberg or Delta, dbt models and a warehouse for performance-sensitive workloads.
A long-running team of data engineers, analytics engineers and platform engineers embedded in your data function.
Senior data architects and engineers 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 top of a lakehouse.
Reference architectures, maturity assessments and multi-year data platform roadmaps tied to portfolio and product goals.
Master data work for properties, units, leases and tenants across operational and financial systems.
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, with versioning and SLAs.
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.
We map the systems, the data, the identifiers and the use cases. Property, unit, lease and tenant identity is usually the first problem to solve.
We design the lakehouse, define the data model and agree on a phased roadmap tied to your reporting and product priorities.
We build the pipelines, models and access layer in code, with testing, lineage and observability.
We onboard the first reports, dashboards and product use cases, including SLAs and data contracts.
We move into a steady-state operating model and widen the platform across portfolios, regions and product lines.
Ready to make Data Engineering for Real Estate a reliable foundation for analytics, AI and operations? Partner with Logiciel to design, build and operate Data Engineering 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, 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.