169 warehouse English-speaking jobs in Warsaw

Support steady-state operations of the data warehouse, including periodic 24x7 on-call availability as

ensure efficient loading of data from various sources Implement best practices for data pipelines, data warehouse

or using presentations and demos Broad range of experience within large-scale Database and/or Data Warehouse

experience with programming in Python Solid understanding of SQL and relational databases Knowledge of Data Warehouse

own data pipelines (batch + streaming) across the business Architect scalable, reliable data lake / warehouse

What you’ll do: Lead warehouse optimisation programs across the division, currently involving 104 sites

how these processes integrate with Finance, Costing, Inventory Management, Procurement, Sales, and Warehouse

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

address evolving integration needs Integrate survey platforms with Google Cloud to support data lakes and warehouse

public sector with elements of law enforcement Experienced with working in environments of Logistics, Warehouse

team to maintain and evolve the shared catalogue of dashboards, KPIs, and metrics for the SIM data warehouse

Design and build data warehouse and pipeline solutions.

and manage NPI assembly teams cooperating during engine assembly (assembly, meng, tooling, quality, warehouse

Management and Governance focused on assets maintenance operations, MRO supply chain, quality assurance and warehouse

Warsaw Hybrid/Remote Requirements Thorough knowledge of Data Warehouse, Business Intelligence, Big Data

Building tools to quickly deploy robots at customer sites Interfaces and APIs for integration with warehouse

disassembling Smart placing, tetris-like algorithms for real products Interfaces and APIs for integration with warehouse

Practical know-how in implementing row-level security (RLS) and Data Lake/Warehouse architectures.

experience with Data Catalogue and Data Mesh , Familiarity with Big Data architectures (Data Lake, Warehouse

advanced ELT and analytic application s operating on medium/high volume of data Design/build database/data warehouse