Data engineering is already a lot of applied ML. Unless this is a research role, you don't necessarily need a whole lot of in-depth ML background knowledge.

They know you don't have an ML background, so they already factored that in.

You don't necessarily need to understand the maths behind things to apply them. Go play around with scikit-learn and numpy/pandas. They are pretty user friendly and give you a good baseline. Tensorflow is a bit rougher, that requires some understanding of how the model works internally. But, it's all things you can learn on the job.

It sounds like this could be a god opportunity for you to get into the field and see if it suits you or not.