$ cat jobs/senior-data-engineer-power-platform-ref5084t-deutschetelekomitsolutions-afdfff59a73f.json
Senior Data Engineer - Power Platform - REF5084T
As Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries. DT-ITS recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team. We are looking for a technically skilled and service-oriented Data Engineer to join our international Common Data Intelligence Hub. This role focuses on the Power Platform frontend of our Cloud Data & Analytics Platform and acts as the bridge between Self-Service BI teams and the Azure Lakehouse backend. Our Cloud Data & Analytics Platform provides a standardized and governed framework that combines the power of Azure Lakehouse technologies (Data Factory, Databricks, dbt, CDC Framework) with Microsoft Power Platform services (Power BI, Power Apps, Power Automate, SharePoint Online). It enables business units to build and operate their own analytics and reporting solutions while ensuring compliance with enterprise-grade security, governance, and data management standards. As a Data Engineer, you will ensure that these self-service solutions operate reliably, securely, and efficiently following established standards within the platform. You will consult and coach business and data teams on how to use the platform effectively - guiding them through the technical framework, governance principles, and best practices for designing sustainable analytics solutions. You will also collaborate closely with platform engineers to keep both the frontend (Power Platform) and backend (Lakehouse) layers aligned operationally an
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