160 warehouse English-speaking jobs in Lisbon

Manage and optimize GCP data storage solutions, primarily BigQuery (data warehouse) and Cloud Storage

build, and maintain scalable data pipelines using Microsoft Fabric (Data Factory, Dataflows, Lakehouse, Warehouse

Stack & ToolingNo vanity metrics.You should have hands-on experience with most of the following:Data Warehouse ... experience in marketing analytics or a related field.Advanced SQL.Experience working in BigQuery or similar warehouse

;Load transformed data into a data warehouse or other storage systems for reporting and analysis purposes ... Server Integration Services (SSIS);Transform data to meet the requirements of the target system or data warehouse

**Ferring+You**As a **SAP S/4HANA EWM Analyst**, you will support Ferring's global warehouse operations ... Hands‐on experience with **EWM customization**, enhancements, and integrations (experience with automated warehouse

standardization,improving inventory and performance visibility Logistics and Fulfillment Support daily Warehouse ... Assist with inventory tracking and stock accuracy, identify root causes of variances, and help optimize warehouse

Bash/Python/Go/Ruby), ETL, Spark, Amazon Web Services (AWS), good communication skills, CI/CD, Data Warehouse

The overall project will be centered around providing product data, warehouse inventory, shipping logistics

lakes Familiarity with cloud-based data platforms and services (e.g., AWS Redshift, Azure SQL Data Warehouse

and deploy data solutions that enable data-driven decision-making.Utilize Databricks and modern data warehouse

communicate progress and issues QualificationsMust-haveAround3-5 years of experience with SAP Business Warehouse

Processing reverse logistics flows (returns), performing root-cause analysis, and coordinating with the warehouse

Gathering: Identifying data needs, extracting data for ad hoc analyses, and defining requirements for Data Warehouse

transformations, testing, and documentation Solid understanding of modern data architectures: Data Lake, Data Warehouse

Technical skills: Knowledge of industry standards data warehouse technologies.

Creation of User Stories for the Data Warehouse. Data modeling in the Data Warehouse.

Creation of User Stories for the Data Warehouse. Data modeling in the Data Warehouse.

Creation of User Stories for the Data Warehouse. Data modeling in the Data Warehouse.

Creation of User Stories for the Data Warehouse. Data modeling in the Data Warehouse.

SQL, dimensional modeling, fact and dimension tables, and data warehouse concepts, ETL/ELT patterns,