Summary
Marat Charlaganov is Head of Data Engineering with 13 years of experience blending computational physics, symbolic AI and production-grade data engineering to build pipelines over structured and unstructured assets for one of Europe’s largest asset managers. He progressed from academic research and a PhD in physical chemistry into industry roles at Deloitte and Entis, where he now leads engineering teams delivering scalable analytics and data infrastructure. Known for bridging rigorous scientific methodology with pragmatic software delivery, he brings deep expertise in modeling, data representation and reproducible pipelines. Based in Leiden, he combines research instincts from VU Amsterdam and Wageningen with hands-on leadership, often translating complex physical-science problems into robust, business-facing data products.
13 years of coding experience
11 years of employment as a software developer
MSc Statistical Physics, MSc Statistical Physics at St.Petersburg State University
PhD Physical Chemistry and Colloid Science, PhD Physical Chemistry and Colloid Science at Wageningen University & Research
English, Russian, Dutch, French