In 2023, ESO greenlit the implementation of new data reduction pipelines in Python; as opposed to legacy pipelines written mainly in C. The data reduction pipeline team of METIS, one of the first light instruments of the Extremely Large Telescope, is among the first to take advantage of this. With a new language comes a lot of opportunities to experiment and develop standards for the future generations of astronomical software packages. I will present the current state of the data reduction pipeline framework, how it integrates with the existing ESO software stack, and show a few challenges encountered while implementing high-performance data reduction algorithms in Python.