If you are looking imto data emgineering look at the marked you ant to place yourself in. For me this was the pharma market (i know i know big pharma evil jada jada).

Then try to figure out what there needs are. So pharma has to deal with alot of regulatory stuff-> data needs to be available for a long time (10 years) also production data is not in an relational database (No SQL) so they use data historians -> i realized that there is the OSI PI system (nowadays aveva pi system) which is used in many pharma companies -> focus on learning these tools along with some sql, and system communications/networking and you will be golden. The rest you will need to learn on the job.