19 factory English-speaking jobs in Silesian Voivodeship

on defining standards, creating architecture, automation, and supporting development teams (Software Factory ... standards Collaborating with Solution Architects and development teams responsible for the Software Factory

infrastructure leadership Stable position in an international company We are currently building a new factory

an international IT organization Stable position in a global company We are currently building a new factory

renowned brands in Poland and abroad Modern, industrial workplace (located in the former Porcelain Factory

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

Experience with workflow management engines (i.e., Airflow, Luigi, Azure Data Factory, etc.).

Design and implementation of ETL processes using Azure Data Factory to streamline data workflows. ... Expert‑level skills in Microsoft Azure, including building ETL pipelines with Azure Data Factory, database

Solid experience with Azure Data Services, such as: Azure Data Lake and Azure Data Factory Experience

on defining standards, creating architecture, automation, and supporting development teams (Software Factory

Assisting with the installation and adjustment of various signaling equipment Supporting the testing of factory

.* Prepare and conduct Factory Acceptance Tests (FAT) and technical product presentations for customers

Assisting with the installation and adjustment of various signalling equipment Supporting the testing of factory

Experience with DIXF and Azure Data Factory.

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

– Databricks, Spark, Hadoop, HDFS, Kafka, MapReduce/Hive, Storm, Zookeeper ETL Tools – Azure Data Factory

Experience in developing ETL in Azure Data Factory, SSIS, Informatica, MS Fabric etc.

skills in relevant programming languages (e.g., Python, SQL, Scala) and cloud services (e.g., Azure Data Factory

and maintaining large-scale data pipelines using modern data platforms (e.g., Databricks, Azure Data Factory

No junior factory, no body‑leasing mindset.