I’ve always disliked how data science was positioned within companies as well, it’s outside the critical path of product and engineering, which means it becomes

I’ve always disliked how data science was positioned within companies as well, it’s outside the critical path of product and engineering, which means it becomes a mere abstraction to management (e.g. “throw that problem to the data science team and see what they come up with”), resulting in very vague and abstract requirements and, hence, deliverables. I think there is huge value in the discipline and technologies, but it unfairly gets relegated when not integrated to the whole product / engineering process. Hence, the title / concept of Data Engineer seems like a much better fit for this role within many companies.