Hire Data Engineer for Property Management
Senior, direct, no layers

As a property management business grows, manual reporting scales badly: more sources, more spreadsheets, more versions of the truth, and inspections booked late discovered weeks after it started. The pipeline approach scales differently, because each new source is modelled once and then serves every report.

What the business already records is the raw material. rent collection data and maintenance job records may be messy, but they are real, and modelled carefully they answer rent collection rates and arrears and maintenance resolution times without new data collection.

Rollout is deliberately narrow: one pipeline, one report, one decision at a time. Each piece must prove the number is trusted before the next source is added, which is why listing-portal performance feeding rent collection rates and arrears usually comes first.

The warehouse draws on listing-portal performance, property software tenancy records, rent collection data, maintenance job records, and inspection results. Each source is pulled on a schedule, checked for duplicates and missing records, and modelled into tables the business can query, so rent collection rates and arrears, vacancy days by property, and maintenance resolution times all read from the same definitions instead of separate extracts.

Most property management businesses already run on property software (tenancies and rent), maintenance portals (repair jobs), inspection apps (property condition), accounting software (landlord statements), and listing portals (vacant properties). The pipeline work starts from those systems as sources, not by replacing them, and lands the cleaned data in a warehouse the business owns, with dashboards on top for the team.

A sensible first project is one pipeline done properly, often listing-portal performance feeding rent collection rates and arrears, with the team using the resulting report for real decisions before anything else is added. A pipeline that proves itself on one decision earns the trust to carry the rest.

Take listing-portal performance. Today it probably arrives as an export someone cleans by hand. In the pipeline it is pulled on a schedule, checked for missing or duplicate records, and modelled into the same definitions every report uses, so rent collection rates and arrears is a number the team trusts instead of a spreadsheet they debate.

property software handles tenancies and rent. maintenance portals handles repair jobs. inspection apps handles property condition. accounting software handles landlord statements. listing portals handles vacant properties.

The realistic outcome is a weekly meeting run on trusted numbers: rent collection rates and arrears and vacancy days by property arrive on schedule, definitions are no longer debated, and maintenance jobs reported and forgotten becomes visible early enough to act on. That is the standard this engagement is measured against, not a dashboard launch.

That also changes how the business argues: disagreements move from whose spreadsheet is right to what the number means and what to do about it, which is where a property management team's judgement actually adds value. Browse all hire engagements or discuss your data setup directly.