Hire Data Engineer for Automotive Dealerships
Senior, direct, no layers

Most automotive dealerships 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 forecourt runs on stock turn: vehicles appraised, prepared, photographed, listed, and sold, while the workshop fills service bays and the sales team chases leads that cool within hours. 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 reports that matter are the ones the team already rebuilds by hand: lead response time and conversion by source, days in stock by vehicle, workshop utilisation and upsell rates, part-exchange margin by appraiser, and finance approval rates. Each is rebuilt once from modelled data and then refreshed on a schedule, so the weekly meeting starts from numbers everyone trusts instead of a debate about whose spreadsheet is current.

Most automotive dealerships businesses already run on dealer management system (stock, sales, and workshop), CRM (lead follow-up), vehicle listing portals (online stock), finance platforms (quotes and approvals), and workshop scheduling software (service bays). 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.

The first build is usually the report the team rebuilds by hand most often, often days in stock by vehicle. When that report arrives on schedule, correct, and without manual work, the case for pipelining the remaining sources makes itself.

Take workshop job records. It is the kind of source every automotive dealerships business has and nobody quite trusts. Once it flows through a tested pipeline with error logging, days in stock by vehicle stops depending on whoever happened to build last month's spreadsheet.

dealer management system handles stock, sales, and workshop. CRM handles lead follow-up. vehicle listing portals handles online stock. finance platforms handles quotes and approvals. workshop scheduling software handles service bays.

The realistic outcome is a weekly meeting run on trusted numbers: lead response time and conversion by source and days in stock by vehicle arrive on schedule, definitions are no longer debated, and leads going cold within hours becomes visible early enough to act on. That is the standard this engagement is measured against, not a dashboard launch.

Over time the warehouse becomes an asset of its own: every new question starts from modelled data instead of a fresh export, so analysis gets faster the longer the system runs. Browse all hire engagements or discuss your data setup directly.