I can mirror your sentiment from the python side. I started my thesis in a matlab heavy department after years of python experience. After three months of fighting I switched to data processing in python and it was a breeze (even though Pandas was kind of an experimental library back then). The matlab ide would often crash when there were problems on the matlab code that my supervisor had written (probably it wasn’t well written but i was astonished that it would bring down the IDE).

I have made a career in python data science since then overall it was a very good decision for me. I was ahead of the curve when data science popped up.

I have since joined a company with engineering dept that rely on matlab. I have no doubt that they wouldn’t get much benefit from switching to python or Julia apart from the license costs.