  We study a general class of random walks driven by a uniquely ergodic
Markovian environment. Under a coupling condition on the environment we obtain
strong ergodicity properties and concentration inequalities for the environment
as seen from the position of the walker, i.e the environment process. We also
obtain ergodicity of the uniquely ergodic measure of the environment process as
well as continuity as a function of the jump rates of the walker.
  As a consequence we obtain several limit theorems, such as law of large
numbers, Einstein relation, central limit theorem and concentration properties
for the position of the walker.
