Glasfaser NordWest GmbH & Co.KG

Glasfaser Nordwest was founded in early 2020 as a joint venture between Telekom Deutschland GmbH and EWE AG. This joint venture, operating on a parity principle, is undertaking the independent expansion of fiber-to-the-home (FTTH) broadband in large parts of Northwest Germany. Glasfaser Nordwest is responsible for the rollout decisions, coordination, and network operation. The joint venture aims to connect up to 1.5 million households and business locations with fiber optics and will invest up to two billion euros to achieve this. This new infrastructure will be made available to the entire telecommunications market on a non-discriminatory basis. Initially, partners EWE and Telekom Deutschland will use the Glasfaser Nordwest network; future collaborations with other marketing partners are planned. This opening of the network to other market participants ensures that people in Northwest Germany have greater freedom in choosing their telecommunications provider. Glasfaser Nordwest Legal Notice: https://glasfaser-nordwest.de/impressum/

26/09/2026
Full time
Glasfaser NordWest GmbH & Co.KG Oldenburg, Germany
Oldenburg, August 28, 2026 Reference # 12893 With us, you can experience what happens when two major corporations pursue a common goal: Glasfaser Nordwest , the joint venture of EWE and Deutsche Telekom, is looking for new team members. Join us now at our Oldenburg location – as Fullstack Data & BI Engineer (m/f/d) Here's what you'll do with us: You will design and develop our modern data and analytics platform based on Microsoft Azure, Microsoft Fabric and Power BI. You are the contact person for specialist departments regarding questions about data, key figures, analyses and reporting. You analyze requirements and translate technical questions into sustainable data and BI solutions. You develop and operate data-driven end-to-end solutions, from data integration to visualization. You model scalable data models for reporting, analysis, and self-service BI use cases. You develop and optimize ETL/ELT processes and data pipelines using Python,...