94 warehouse English-speaking jobs in Lisbon District

We are looking for someone with… Core Focus Areas: Production Planning (PP) Warehouse Management (WM ... We are seeking a highly skilled Cross-Functional Consultant with a focus on Production Planning and Warehouse

experience with cloud technologies (GCP, AWS, Azure) and data infrastructure Advanced understanding of data warehouse

phase-in/phase-out processes, new product launches, managing master data, and supporting shipment and warehouse

experience in software projects, maintenance, and support within Supply Chain Management, Logistics, Warehouse

Experience with cloud technologies (GCP, AWS, Azure) and data infrastructure Understanding of data warehouse

new products, and limited editions, managing master data, and assisting with shipment dispatches and warehouse

It provides solutions in warehouse and conveying technology, palletization plants, software, logistics

Multidimensional Expressions), and M (Power Query Formula Language); Knowledge in data modeling and data warehouse

Qualifications At least three years of professional hands-on experience in developing data warehouse

Experience with Oracle or a similar database Expertise in data modeling and exploration Experience in data warehouse

Understanding of data warehouse concepts and best practices. ... Minimum of 2 years of proven experience as a data engineer/architect on Snowflake (data warehouse design

MES integration will be appreciated Experience as a Leader in the implementation of EWM Experience in Warehouse

Design and develop data architectures (Data Lake/Data Warehouse) for the integration, storage, and analysis

Quality Control Departments; Sample materials to be stored in QA archive; Performs round checks in warehouse

end-user environment Remote Support & In person/On desk/field support Work by procedures and tickets Warehouse

technology or related domains; Proficiency in SQL and experience with Snowflake or similar cloud data warehouse

Good understanding of data modeling, database design, and warehouse/lakehouse principles.

understanding of the software development cycle (development, deployment and support of large-scale data lake / warehouse

static analyses; Agile methodologies such as Scrum and Kanban; Integrating/connecting systems like warehouse

Previous experience in Data Warehouse environments.