325 factory English-speaking jobs in Poland

Exposure to Azure data services (Data Factory, Synapse, Databricks).

Support cost reduction and GSC Factory Built In Quality efforts.Required QualificationsRelevant experience

remotely on selected days (up to 150 days per year, depending on the position held), free transport to our factory

electrical equipment following contractual and project specification requirements;• Participation in Factory

The most common market for these products are in factory automation applications such as packaging machinery

Experience in building data warehouses, data lakes and data lakehouses using tools like Azure Data Factory

electrical equipment following contractual and project specification requirements;• Participation in Factory

service offerings, and establishing Hitachi Digital Services as a trusted Manufacturing IT and Smart Factory

disruptive technology, pushing the sector towards better ways to trade, minimising disruptions from the factory

team of on-site and remote specialists across IT and OT disciplines, driving the re-implementation of factory

Event Sourcing, Domain-Driven Design) Awareness of data technologies (e.g., Data Lakes, Azure Data Factory

knowledge and data engineering skills in spark-based data processing solutions (tech stack: Azure Data Factory

Develop the IT/OT landscape, strengthening the connection between corporate IT and factory systems, including

of Conversational AI Leverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory

, PythonServiceNow data structure and reportingExperience working with Azure Databricks, Azure Data Factory

Business Intelligence roles Proven hands-on experience with Azure-based data platforms (e.g., Data Factory

leading SAP innovations; we value technical members as part of one consulting team; and we are not a “factory

We are committed to ensuring our state-of-the-art “smart factory” products and services provide greater

Azure Data Factory, Logic Apps, Azure Function, SSIS etc.)

Experience with cloud platforms, ideally Microsoft Azure (e.g., Data Factory, Data Lake, Databricks,