BE PART OF OUR GROWING TEAM Your Role You will be part of our regional International Supply Chain team, enabling our customers to optimize their supply chains through our order management + sea transportation management solutions. Develop tools to streamline daily operations, such as building data pipelines that ingest data from sources, summarize it and connect it to applications. Also, develop and maintain processes, perform Data Analytic, Data Visualization and Dashboard Building and Ad-hoc analysis from management. Your Responsibilities Develop tools to streamline daily operations, such as building data pipelines that ingest data from sources, summarize it and connect it to applicationsPerform Data Analytic, Data Visualization, Dashboard Building, and Ad-hoc analysis from managementTo maintain, drive + continuously improve our strategy for extracting, gathering, cleaning, transforming, organizing, storing + managing dataTo define target audiences, data collection objectives + tracking plans as per business requirementsTo determine, simplify + refine the core set of data points, events + properties, establishing clear approval processes for events to be added/removed/updatedTo develop + maintain operational definitions + procedures to govern data availability, validity, accuracy, completeness, consistency + uniformity and build, deploy + maintain data support toolsTo govern + supervise the execution of data collection, cleaning, transformation + organization, along with diagnosing data quality issues with automated reports + alertsTo engage with business owners + end users to understand, specify + drive changes to processes, systems + hardware required to enable our data strategyTo continuously simplify, integrate + automate processes to improve data quality as well as availability against the lowest possible cost Your Skills and Experiences Professional education or degree in Computer Science, Computer Engineering, Information Engineering, or Information TechnologyAt least 3 years of Software Engineering/Development experience and ETL processesAt least 3 years experience in Python (pandas , regex, good to have: streamlit, tkinter) is a mustAt least 2 years experience in SQL (data validation, data modeling, database maintenance) is a mustBasic understanding and interest in TableauPython Orchestrators (luigi,Prefect), Oracle / SQLite experience is a plusKnowledge, skill and experiences on SAP Business Object is an advantage; Logistic knowledge and experience is an advantage but not essentialGood communication skill and can work independently under moderate pressure Good Reasons to Join We are looking for individuals with an eye for details and a passion for risk management. In return, you will gain access to professional development opportunities and international exposure in a team-based environment. To find out why Kuehne + Nagel is the best place to advance your logistics career, start a conversation with us and click apply today!