You will still need data engineers to build the whole data ingestion and processing pipeline (although that can be easy if standardised tools are available, such as spark, it's still a challenge in many cases).
Maybe that currently is some parts of the job of an ML engineer. But if that's the only part, I don't think that role should be called one of ML engineer anymore