Density function of conditional random variable without knowing joint distrbution.

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I have Z and X which are two random variables with density:

$f_Z(z) = 3(1-z)^2\mathbb{1}_{[0,1]}(z)$

$f_X(x) = 6x(1-x)\mathbb{1}_{[0,1]}(x)$

I want to find $f_{Z \vert X = x}(z)$, but to do that I have to calculate the joint density which is unknown. (The two random variables are not independent). Is there another way? If not, how do I calculate the joint density?

EDIT: The random variable Z was defined as: $$ Z = XU $$ with $f_U(u) = \mathbb{1}_{[0,1]}(u)$