120 warehouse English-speaking jobs in Lisbon

Developing and maintaining data lake and data warehouse schematics, layouts, architectures and relational

Job Description Fusion Consulting is looking for an experience SAP Extended Warehouse Management (EWM ... enhancement, and integration; prior experience with Third-Party Logistics (3PL) operations and automated warehouse

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

Databricks, Microsoft Fabric); Proven background in Azure Cloud data projects, including migrations, data warehouse

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

verification; Understanding of MM integration points with other SAP modules such as SD, FI/CO, and WM (Warehouse

Expertise in data modeling, ETL/ELT, streaming, and data lake/data warehouse architectures.

Haves Python, scripting (Bash/Python/Go/Ruby), ETL, Spark, Amazon Web Services (AWS), CI/CD, data warehouse

Logistics and FulfillmentSupport daily Warehouse to “Last Mile” operations, coordinating supplier inbounds ... Assist with inventory tracking and stock accuracy, identify root causes of variances, and help optimize warehouse

knowledge of query languages: SQL, DAX, MDX, and M (Power Query) Experience in data modeling and data warehouse

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

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

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

Hands-on experience with cloud platforms (Azure, AWS, or GCP) and data lake/data warehouse solutions.

Create new analytical capabilities by continuously adding new data points to the data warehouse core

in‑house ETL algorithms using Python and/or PySpark and Transact SQL using an Azure SQL Server data warehouse

solutions Design, build, and own high-performance, reusable, and scalable data models for the data warehouse

experience in SQL and at least one programming language (Python preferred); Deep understanding of data warehouse

Ensure alignment on how business logic is represented in the warehouse and understood by stakeholders ... with Product and Engineering to ensure correct data modeling and reliable ingestion of data into the warehouse

separation of environments (dev/test/prod) Used to improving performance and cost: query tuning, clustering, warehouse