70 warehouse worker English-speaking jobs in Paris

Data driven with strong data and analytics skills, Qlick/Power BI Desirable experience in data flows/warehouse

Architect and implement sophisticated data models in our Snowflake data warehouse, transforming raw data ... Technical Environment Core Languages: Python, SQL Data Warehouse: Snowflake Orchestration & Deployment

business objectives.Oversee the development and operation of a comprehensive ecosystem: data lake, data warehouse

Excellent team worker. Able to work in a matrix environment.

Co-worker quality - Work with inspiring professionals who are leaders in their field.

Data Warehouse: Hands-on experience with Google Cloud BigQuery (or similar cloud data warehouses).

dashboards to answer business needs Ability to design Datamarts and Star Schemas using dbt on a cloud data warehouse

customer returns, repairs, complaints)Ensure product maintenance, replenishment on the floorKnow the warehouse

Design and implement resilient and secure data systems (data warehouse, data lake, real-time systems)

You genuinely enjoy working with frontline users – mechanics, warehouse staff, operations managers –

Excellent team worker. Able to work in a matrix environment.

This collaboration expands our reach across all worker types – from HQ to the frontline.

Preferred Qualifications Experience in warehouse operations, manufacturing, inspection, or autonomous

customer returns, repairs, complaints) Ensure product maintenance, replenishment on the floor Know the warehouse

Moreover, managing includes organised administration of the warehouse and inventory, so that the supply

governance, quality, or data migration projects towards modern architectures (cloud, data lake, data warehouse

real estate finance – including balance sheet loans, syndicated loans, senior/mezzanine structures, warehouse

Choose and integrate the right tools (warehouse/lakehouse, streaming, orchestration, ML stack) with a ... Deep understanding of modern data architectures (warehouse / lakehouse, streaming vs batch, event-driven

Infrastructure & API team comprises 5 engineers, including DevOps & backend engineers that provide the data warehouse

team.We use:Node.js and Nest.js on the backend,React and Next.js on the frontend,BigQuery for the data warehouse