It really depends heavily on the engineering field. I do work in optical/physical engineering (photonics, nonlinear optics, quantum computing) and essentially operations research (optimization theory) and almost everything we use is Python (as a C + CUDA wrapper/HDL-type thing) and Julia (which I'm trying to introduce for code reusability, even if it is only marginally slower than the former).

At least in my university, most people really do use Python + C and Julia for many, many cases and MATLAB and such are used mostly in mechanical and civil engineering, some aero-astro (though a ton of people still use Python and C for embedded controllers), and Geophysics/Geophysical engineering (but, thanks to ML, people are switching over to Python as well).

I think even these fields are slowly switching to open versions of computing languages, I will say :)