Also, data engineering is a vast field. Pick an area that you would like to pursue first and go deep: Machine learning (feature extraction+training), Hadoop/Spark job processing, event streaming & aggregation etc.
Then try to find a entry level job that would allow you to apply what you learned and also get to expand your knowledge of running actual clusters.
You then need use cases: things to do to the data. From this you learn how to process it using whatever tools you like.
How to set up clusters ... worry about that less. It’s more and more commoditised over time and it’s the admin part of data engineering anyway.
I'm a massive advocate of community colleges over "boot camps" and other such educational vectors, but I'm not sure what infrastructure is already available in your country that would help you get on that path.