177 warehouse English-speaking jobs in Lisbon

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

Under a common roof, the companies of this Business Area offer solutions in the fields of warehouse and

solutions Support the planning and implementation of technical solutions Strong knowledge of data warehouse

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

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

testing, data governance, and data management Provide input into the design and development of 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

maintain integrations between Oracle HCM and internal/external systems (e.g., payroll, IAM, finance, data warehouse

Design and development of a data architecture (Data Lake/Data Warehouse) for the integration, storage

The Last Mile Manager will report directly to the Team Lead for Warehouse to Delivery for Southern Europe

Strong experience with Data Lake, Data Warehouse, and RDS architecture knowledge.

development, or data engineering Strong proficiency in SQL, ideally with Snowflake or a similar cloud data warehouse

Demonstrated feature engineering on warehouse/lakehouse data (Snowflake/BigQuery/Databricks) and partnership

Strong SQL and warehouse performance tuning (partitioning, clustering, pruning, incremental models).

development, or data engineering Strong proficiency in SQL, ideally with Snowflake or a similar cloud data warehouse

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

cross-functional teams to design and implement scalable data pipelines and manage our AWS-based data lake and warehouse

Experience with Data Lake, Data Warehouse, and distributed processing.

Utilize Azure Synapse Analytics (formerly Azure SQL Data Warehouse) and Azure Databricks for big data

Understanding of data lake/data warehouse architecture.