Given the same set of nodes, why is it (generally) easier to find a Euler cycle than a Hamilton cycle? To find a Hamilton cycle is a NPC problem, but Euler is not. 
Considering one can always transform the vertex as edge or vice versa conceptually. Then the vertex can be used to describe the information which originally edge does.

What properties make the Euler graph more easily to be resolved? 

For example, in genome assembly problem, one can either consider a Kmer as vertex or edge(de bruijn graph), it's just two perspectives to look at the same thing. I think their should be additional or missing information between two kind of explanation.
Suppose you are trying to find a Hamiltonian cycle on a graph.  

You can solve this efficiently in the manner you describe (i.e. converting vertices into edges and then solving for an Euler path) if and only if the graph is a line graph.

There are a number of characterisations of line graphs.  

For example, a graph is a line graph if and only if it does not contain any of these 9 graphs below as a subgraph:



An alternative characterisation is that a graph is a line graph if and only if you can partition the graph into cliques such that every vertex belongs to exactly two cliques.

This characterisation is perhaps more useful as you can apply Euler's proof to these cliques.