This presentation explores the salary landscape in the German job market, focusing on the challenges of data collection and approaches used to analyse it. We will discuss the importance of getting just the right features and how to balance the amount of data used. We will also examine the pipeline from experimentation to production models and the importance of keeping track of metrics and how we can automatise the process. Lastly, we will delve into the challenges of gender bias, data representation, and monotonicity, looking at how these factors impact our predictions, as well as prospects for future work.