Data Impact engineering team is split on both sides of the Mediterranean Sea, in Paris and Algiers, with 30% of our developers being women. Our engineering team is a uniquely diverse and international environment, with an average age of twenty-eight and passionate about new technologies and innovation. Don't get it wrong, we know how to have fun as well !
Sales & Marketing
CSM & Client support
Technologies and tools
Organization and methodologies
Data Impact engineering team organises itself around the data lifecycle, from scraping to customer delivery. Each team works in a close partnership with their immediate counterpart, using the Scrum methodology. Each team is divided into smaller squads, some of them having a more transverse role.
Every line of code goes through a code review, and every recent project has its ci/cd. Each squad organise their weekly public code review where they study one of the squad members particularly complex pull request. These process allow continuous delivery as well as making sure our codebase is shared between our developers.
Projects and tech challenges
Every day Data Impact collects more than 60 billion data points. The database includes 300+ different retailers in 40+ countries. We work with a complete data set – not a misleading sample. Our data is collected where consumers actually shop and it undergoes a thorough, human-validated cleaning process. We have developed proprietary AI and ML technology and are constantly innovating.