240 factory English-speaking jobs in Masovian Voivodeship

pipelines) Proficiency in X++, .NET, C#, REST/SOAP services Experience with DIXF and Azure Data Factory

Proficiency in multiple Azure services: Databricks, Data Factory, ML, Event Hub, SQL Server, Datalake

Requirements: Python, Azure Data Factory, Azure Cloud, Databricks ... knowledge and data engineering skills in spark-based data processing solutions (tech stack: Azure Data Factory

shaping the people strategy for two essential areas of our business: Service business and the Przasnysz factory

shaping the people strategy for two essential areas of our business: Service business and the Przasnysz factory

Services, ETL Proficiency in SQL PySpark data modeling and ELT/ETL design patterns including Azure Data Factory

control, pipelines) Proficiency in X, .NET, C#, REST/SOAP services Experience with DIXF and Azure Data Factory

end-to-end data solutions using Microsoft FabricBuild and optimise data pipelines leveraging Azure Data Factory

interpersonal relations with other parties (suppliers, colleagues from own and other groups).Familiarity with factory

end-to-end data solutions using Microsoft Fabric Build and optimise data pipelines leveraging Azure Data Factory

Support feasibility studies and early-stage project development Procurement & Pre-Construction Perform factory

Providing limited employment-law support for factory-related issues and escalating specialist matters

format after probation: hybrid (3 days office / 2 days remote) Probation period: 100% on-site at the factory ... format after probation: hybrid (3 days office / 2 days remote) Probation period: 100% on-site at the factory

Hands‑on experience with implementing solutions with data lakes and pipelines (Databricks, Azure Data Factory ... PySpark, data modeling (3NF, star/snowflake schemas) and ELT/ETL design patterns (including Azure Data Factory

format after probation: hybrid (3 days office / 2 days remote) Probation period: 100% on-site at the factory ... format after probation: hybrid (3 days office / 2 days remote) Probation period: 100% on-site at the factory

Experience Platforms Technologies & Platforms may include: Hadoop, Spark, Databricks, Azure Data Factory

and experience working with large datasets Hands-on experience with Azure Databricks and Azure Data Factory

migration activities in close relation to Business Process Owners / Technical Process Owners, Migration Factory

and attractive benefits package; Office working hours from Monday to Friday; Free transport to the factory

Science Preferably 2 years of working experience in financial services as business analyst on market data factory