Philipp Vogler is a Senior Data Engineer in Hamburg with a decade of experience blending data engineering, software development, and product management—particularly in the automotive and transportation space. He has driven data and ML-enabled features at Mercedes‑Benz’s innovation lab and now builds scalable data solutions at Vattenfall, leveraging a strong foundation in machine learning and self-driving car technologies from multiple Udacity nanodegrees. His background in logistics and program management (DHL, Oliver Wyman) gives him a rare combination of technical depth and operational rigor, enabling delivery of production-ready systems that solve real-world mobility problems. Philipp has also developed a machine‑learning–driven transportation planning platform as an independent developer, reflecting an entrepreneurial bent and hands-on experimentation. Fluent in turning research and prototypes into product features, he pairs business-oriented thinking from Harvard’s CORe with practical data engineering skills to bridge teams and accelerate impact.
10 years of coding experience
7 years of employment as a software developer
Master of Science (M.Sc.), International Transport and Logistics, Master of Science (M.Sc.), International Transport and Logistics at International School of Management
Predictive Analytics for Business, Data Processing, Predictive Analytics for Business, Data Processing at Udacity
CORe: Credential of Readiness, Business Administration and Management, General, CORe: Credential of Readiness, Business Administration and Management, General at HBX / Harvard Business School
Bachelor of Science (B.Sc.), Industrial Engineering and Management, Bachelor of Science (B.Sc.), Industrial Engineering and Management at Universität Bremen
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