I think to assume that all data is meant for "meaningful models" is a mistake. In fact, for the majority of companies, the biggest value-add are simple KPI's (conversion rates, funnels drop offs, basic summary stats). Above and beyond cutting edge ML models, data engineers are needed to provide a window into the basic pulse of a business.