56 warehouse English-speaking jobs in Wrocław

Our ideal candidate has: SAP BW all versions on architectural level: understanding of SAP Business Warehouse

principles Translate conceptual models and business glossaries into technical data structures for the Data Warehouse

data, data lineage, master data, security & compliance) Nice to have: Familiarity with SAP Business Warehouse

: SAP S/4HANA Retail for Merchandise Management SAP Customer Activity Repository (CAR) SAP Extended Warehouse

Qualifications & tech toolbox 2 years of experience delivering complex data warehouse / data lake / business

enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse

Tech Stack & Environment DBT Cloud – core ELT engine Snowflake – data warehouse AWS S3 – data lake /

agile-based approaches 5+ years of experience as Data Architect / Data Solution Architect Experience in Data warehouse

from various sources, including APIs, databases, and third-party platforms, into our centralized data warehouse

Qualifications & tech toolbox 4 years of experience delivering complex data warehouse / data lake / business

Work closely with other data team members to support data warehouse and data lake initiatives.

modeling and DAX-based calculations, solid knowledge of SQL (T-SQL is a plus), understanding of BI / Data Warehouse

Knowledge of Data Warehouse and Data Lakehouse concepts and technologies.

automate and process data Working with tools like dbt, Airflow, Pandas, Jupyter Understanding data warehouse

Among the standout features of our product are recipe and batch management, a web booking module for warehouse

Experience working across technical and business teams Knowledge of modern data architectures (Medallion, warehouse

the projects you might work on include: Invent how we can leverage text data available in our data warehouse

sourcing, supplier relationship management, and continuous improvement initiatives across our global 3PL warehouse

data sources, into the data lake, implementing ETL processes to transform and load data into the data warehouse

modeling and DAX-based calculations, solid knowledge of SQL (T-SQL is a plus), understanding of BI / Data Warehouse