64 warehouse English-speaking jobs in Lisbon District

You'll own the technical direction of the data platform: read models, CDC pipelines, and the analytical warehouse ... Systems & Streaming: Design event-driven data flows and CDC pipelines from operational databases into the warehouse

addressed through problem management or automation Qualifications Unix and Shell Scripting  Data Warehouse

Experience with Lakehouse, Warehouse, Data Factory, and Power BI Semantic Models. ... Develop solutions using Fabric Data Factory OneLake, Lakehouse, Data Warehouse, Notebooks, Semantic Models

Proficiency in SQL and experience with Snowflake or similar cloud data warehouse platforms.

support data‑driven decision‑making Role Implementation of technical solutions Knowledge of data warehouse

Upper-intermediate English level NICE TO HAVES Healthcare, EMR, or EHR experience Analytics or data warehouse

implementation of the new cloud data architecture (Lakehouse) and the migration of the legacy Data Warehouse

Hands-on experience with data warehouse and data lake technologies such as Azure Data Lake, Delta Lake

Understanding of logistics, fleet planning, or complex scheduling problems Nice to Have AMR/AGV, robotics, warehouse

reliable data products Contribute to cost optimisation and performance improvements within the data warehouse ... Proven experience building and maintaining production data pipelines Experience working with cloud data warehouse

a comparable field You have many years of experience in SW development and concepts for logistics warehouse

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

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

will focus heavily on data ingestion, transformation and modelling, with Snowflake as the core data warehouse

Strong experience with Data Lake, Data Warehouse, and RDS architectures.

Development: Query optimization, partition management, and application of business logic within the Data Warehouse

solution-oriented working style; Experience with agile methods such as Scrum or Kanban; Knowledge of modern data warehouse

Collaborate with key stakeholders to enhance our data warehouse, ensuring it meets the evolving needs

Experience in Agile delivery methodology in a data and analytics context Deep understanding of data warehouse

) Knowledge of mathematical statistics and practical experience applying it Hands-on with a cloud warehouse