The Global Data & AI department is on a mission to turn DB Schenker into a data-driven company. Our Data Engineering team focuses on designing advanced analytics solutions to solve potential business use cases in logistics using Machine Learning, AI techniques, Data Visualization tools and Big Data technologies in cooperation with our Software Engineering team, internal business units and global IT. We are looking for a talented Data Engineer who can contribute to our projects with solid data intuition, hands-on problem-solving skills, engineering mindset and eagerness to learn about our logistics business data.
Nice-to-have knowledge:
The Global Data & AI department is on a mission to turn DB Schenker into a data-driven company. Our Data Engineering team focuses on designing advanced analytics solutions to solve potential business use cases in logistics using Machine Learning, AI techniques, Data Visualization tools and Big Data technologies in cooperation with our Software Engineering team, internal business units and global IT. We are looking for a talented Data Engineer who can contribute to our projects with solid data intuition, hands-on problem-solving skills, engineering mindset and eagerness to learn about our logistics business data.
,[Support to existing Data capture solution and be an active Development member of migration to new technology., Analyze data and design, code, test, debug, automate, document, and maintain data solutions for multiple platforms., Support in DevOps implementation., Support in optimizing release process which include shell scripting, automation thought process. Requirements: Python, DevOps, Oracle DB, Linux, Jenkins