Every reporting project and every AI feature we build rests on data that is currently spread across an ERP, an accounting package and several spreadsheets that disagree with each other. This role is about making that data trustworthy.

What you would work on

Pipelines that pull from client ERP, accounting and inventory systems on a schedule and in real time
Reconciliation logic for the cases where two systems genuinely disagree
Data models behind sales, dealer and operational dashboards
Preparing datasets for retrieval and analysis in our AI work
Monitoring, so a broken sync raises an alert rather than a wrong number in a board pack

What we are looking for

Strong SQL — this is most of the job and we will go deep on it
Python for pipeline work, and enough infrastructure knowledge to schedule and monitor it
Patience with messy real-world data. Nothing here arrives clean