66 warehouse English-speaking jobs in Wrocław

escalation for complex data issuesTech Stack & EnvironmentDBT Cloud (core ELT engine)Snowflake (Data Warehouse

Warehouse: BigQuery.

primary responsibility of the Data Platform team is to maintain and further develop an on-premise data warehouse

The project focuses on expanding and stabilizing the existing data platform, including the warehouse ... Strong SQL skills and solid understanding of data modeling for ETL/ELT and warehouse workloads. ... Develop and maintain ETL/ELT processes and support the evolution of the data warehouse layer (Azure SQL

Analytics Engineer needed to build and maintain data infrastructure for a growing AI-driven company. Responsibilities include standardizing data architecture, automating data processes, and mentoring analysts. Requires 4+ years of experience in data engineering, analytics, or BI engineering with strong SQL, Python, and cloud data warehouse skills.

robust data pipelines, automations, and integrations between our CRM, marketing platforms, and data warehouse

and integration interfaces (ERP, QM, SD, MM, PP) Understanding of business processes in logistics, warehouse

Proficient in at least 2 of the following MTI processes: Inventory Optimization, Warehouse Management ... Architects to support strategic MTI projects, leveraging your functional expertise in production, inventory, warehouse

developing and implementing of hardware and software systemsDesigning the system layout, including the warehouse

supply chain.Knowledge of SAP MM-IM, ideally also SAP CI and IDoc monitoring.Solid understanding of warehouse

The system is a data warehouse consolidating data flows and processing information to present to end-users

platforms AWS/Azure/GCPExperience with modern data architectures such as Data Lake, Delta Lake, Data Warehouse

Information Systems, or related field. 1–2 years of hands‑on experience with Snowflake or similar cloud data warehouse

Collaborate with Customer Care, PSI Planning, Warehouse Manager, and Strategic Supplier Management on

, CDC, APIs, connectors, structured/semi-structured/unstructured files) Solid understanding of data warehouse

What we expect in general Hands-on experience with Python Proven experience with data warehouse solutions

Model data using solid data lake/warehouse concepts and optimize performance (partitioning, file formats

and integration interfaces (ERP, QM, SD, MM, PP) Understanding of business processes in logistics, warehouse

implementing SAP TM Shipper scenario Deep understanding of end-to-endlogisticsprocesses (transportation, warehouse

A strong data engineering background in a data warehouse or data lake architectureExperience working