Senior Data Engineer - Lakehouse & Data Engineering Frameworks - REF5085J

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 Senior Data Engineer to build and operate scalable data ingestion and CDC capabilities on our Azure-based Lakehouse platform. Beyond developing pipelines in Azure Data Factory and Databricks, you will help us mature our engineering approach: we increasingly deliver ingestion and CDC preparation through Python projects and reusable frameworks, and we expect this role to apply professional software engineering practices (clean architecture, testing, code reviews, packaging, CI/CD, and operational excellence). Our platform runs batch-first processing, with streaming sources landed raw and processed in batch and selective evolution toward streaming where needed. You will work within the Common Data Intelligence Hub, collaborating with data architects, analytics engineers, and solution designers to enable robust data products and governed data flows across the enterprise. Your team owns ingestion & CDC engineering end-to-end (design, build, operate, observability, reliability, reusable components). You contribute to platform standards (contracts, layer semantics, readiness criteria) and reference implementations. You do not primarily own cloud infrastructure provisioning (e.g., enterprise networking, core IaC foundations), but you collaborate with the platform team by defining requirements, revi