The launch of the ESA Sentinel 3A and 3B satellites providing 300m global ocean colour data present new opportunities to observe finer scale oceanographic features. However, the satellites represent a 20-fold increase in data volumes compared to earlier sensors and, hence, a significant computational challenge using existing processing tools. In this poster, we share our experience of reducing bottlenecks in satellite data processing workflows and expand upon the use of new technologies such as xarray and dask to address these. As an example, we present how an updated ocean-colour processing chain has been incorporated into our operational processing systems to allow processing over 1.1 billion pixels per day as part of the ESA funded project: Earth Observation for Sustainable Development (EO4SD).