Hire Data Engineer for Real Estate
Senior, direct, no layers

Most real estate businesses do not need more dashboards. They need the unglamorous work underneath: data pulled from each source on a schedule, checked for errors, modelled into consistent definitions, and delivered to one reporting layer the team can trust.

The shape of the data decides the shape of the build. The agency runs on listings and viewings: properties valued, photographed, listed, viewed, negotiated, and moved to exchange, with vendors who need updates before they ask. Sources, models, and dashboards follow from that, not from a standard template, which is why two businesses in the same industry still end up with different pipelines.

Handover is part of the deliverable: documented models, scheduled pipelines the team can monitor, and dashboards the team can extend. The business should not need the person who built it to keep the numbers flowing.

The warehouse draws on valuation comparables, offer and sale records, commission data, CRM lead and viewing data, and listing-portal performance. Each source is pulled on a schedule, checked for duplicates and missing records, and modelled into tables the business can query, so viewings per listing by channel, time to offer and to exchange, and valuation accuracy against achieved prices all read from the same definitions instead of separate extracts.

Most real estate businesses already run on CRM (leads and vendors), listing portals (property marketing), viewing apps (appointments), valuation tools (comparables), and accounting software (commissions). 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 valuation comparables feeding viewings per listing by channel, 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 valuation comparables. 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 viewings per listing by channel is a number the team trusts instead of a spreadsheet they debate.

CRM handles leads and vendors. listing portals handles property marketing. viewing apps handles appointments. valuation tools handles comparables. accounting software handles commissions.

The realistic outcome is a weekly meeting run on trusted numbers: viewings per listing by channel and time to offer and to exchange arrive on schedule, definitions are no longer debated, and vendors chasing for updates 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 real estate team's judgement actually adds value. Browse all hire engagements or discuss your data setup directly.