The article aimed to explore the drivers of employees' job satisfaction. Empirically, the study is based on the Czech data from the 2017 edition of the European Union Labour Force Survey (EU LFS), accounting for 12,699 employed individuals. The implemented methods relied on the employment of the multivariate ordered logistic regression analysis. The estimated model found empirical support for the significance of job-related determinants and individual characteristics. The main findings are that job satisfaction is significantly related to the organization's size, skill level classification of the profession, supervisory responsibilities, working hours, level of education and years of experience. The highest levels of job satisfaction were, on average, observed among highly skilled professions, especially in managerial occupations. From the perspective of the organization's size, employees working in organizations with less than ten persons were, on average, mostly satisfied with their jobs. The study contributes to a better understanding of the drivers of job satisfaction from the context of the Central-European country, and it offers several suggestions for future research.