Senior Data Engineer with Google Cloud (GCP) at DeutscheTelekomITSolutionsSlovakia

To strengthen our MusGKteers team in the Data Value Stream – B2B Analytics, we are looking for a Senior Data Engineer. Our mission is to implement a future‑proof data warehouse (DWH) landscape within the One Data Ecosystem (ODE). To achieve this, we need to migrate the current architecture (ODW and ODL) to the Google Cloud Platform (GCP). In addition, new products and KPIs continuously generate new requirements to ensure that our B2B data remains up to date. The scope of work is extensive, challenging, and highly exciting. If you are interested in working in a future‑oriented and agile environment, then you’ve come to the right place. You only need the following skills BigQuery, Dataform, BigLake, Vertex AI, Google Cloud Storage, Cloud Composer/Airflow and don’t worry: we are also still learning in our new cloud environment. So there is nothing you cannot learn as well.                                                                                WHAT WILL YOU DO? • Analyses complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models. • Designs, builds, implementation and maintain the database structures to support business needs including integration of vendor database solutions into data environment. • Contributes to the development of the capacity planning function to properly identify needed hardware, software, database configuration / architecture to support application / business needs. • Manages the life cycle of multiple database tools by enabling smooth upgrades and/or installation and support of new capabilities. • Data munging, manipulation, cleansing and blending from multiple data sources and exposure to various data types and storage paradigms including data mining. • Works with data to solve business problems and build and maintain the infrastructure to answer questions with data. • Develops and manages scalable data processing platforms used for exploratory data analysis and real-time analytics. • Oversees activities of the junior data engineers, ensuring proper execution of their duties and alignment with business vision and objectives.