The past decade has seen an enormous growth in the research related to the digital food and cooking recipes underpinnings of data engineering, as food is essential for human life and related health. The ability to collect, store, process, and evaluate cooking recipes has advanced immeasurably, and data science-driven methods have had unprecedented impact on food experience sharing and recommendations at large, mainly because of their success in analys-ing and predicting human cooking expectation, flavour, and taste preferences. Data Engineering stands to benefit from the food computing and recipe cooking revolution in similar ways, but realizing this vision requires thoughtful and concerted effort. The 4th International Workshop on Data Engineering meets Intelligent Food and COoking Recipes (DECOR@ICDE2021) aims to accelerate research in data science by providing a forum for the latest innovations in the intersection of Data Engineering and Intelligent Food and Cooking Recipes. The workshop is specifically focusing on data science innovations that accelerate the organization, integra-tion, access, and sharing of digital objects in support of the Intelligent Food and Cooking Reci-pes domain. This domain comprises not only the process of cooking, but also includes intelli-gent methods for enhancing human-food interactions, ranging from devising technology, playful interactions, multisensory experience design, understanding cross-cultural food eating habits and perception, as well as food choices and their health connections. Consequently, increas-ing the ability of influencing food eating habits and choices that promote, simultaneously, healthful eating-decisions and creative new human-food interaction experiences.