Expert Developer – Data Analytics & Data Engineering

Company Description 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.   Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation. Job Description At BDA_CDI HUB, we provide comprehensive IT solutions for T-Systems in the areas of data management, analytics, visualization, and process automation.  Our expertise spans from self-service analytics platforms to enterprise wide data warehouse and analytics solutions. We are increasingly focusing on data-driven initiatives and advanced analytics based on cloud services, evolving our traditional data warehouse landscape into a centralized T- Systems Lakehouse architecture to optimize and enhance efficiency.  Our environment is dynamic, innovative, and centered on continuous learning and development.  As an Exper Developer – Data Analytics & Data Engineering, you will:  Design IT platforms, processes, and organizational structures for our evolving Lakehouse on Azure, leveraging:  Databricks Data Factory Data Lake Storage Event Hub … and more cutting-edge technologies.  Develop sustainable architectures, prototype solutions, and evaluate new technologies to drive innovation.  Support engineering teams in platform architecture development and coach them toward independent solution design.  Ensure data protection and security when handling business-critical and personal data.  Collaborate with the team to enhance platform architecture, establish principles, patterns, and best practices.  Qualifications Your Experience & Qualifications  Degree in (Business) Informatics, Business Administration, or equivalent practical experience.  At least 5 years of experience in data engineering architecture, with:  Minimum 5 years of hands-on experience with Databricks & Delta Lake on Azure services.  Proven expertise in migrating from traditional data warehouse solutions to modern data platforms like Lakehouse & Delta Lake.  Expected Skills & Knowledge  Technical Expertise:  Strong experience in modern data platform and data warehousing architectures.  Deep knowledge of data lake storage organization and architecture.  Solid understanding of relational and multidimensional database systems.  Proficiency in data warehouse modeling methods (Kimball, Inmon, Data Vault).  Experience with data pipelines using Spark Structured Streaming and Delta Lake.  Strong programming skills in SQL, Python, and Spark.  Preferred Additional Experience:  Familiarity with reporting, analytics, and dashboarding.  Hands-on experience with Agile development methodologies (SCRUM, KANBAN, etc.).  Knowledge of BI solutions using: Azure Databricks /Azure Data Factory /Azure Storage /Azure Synapse /Azure Logic Apps / Power BI  Additional information Experience with Power Platform (Power Automate, Power Apps) is a plus.  Certifications (Preferred but Not Mandatory)  DP-900: Microsoft Azure Data Fundamentals  DP-100: Designing and Implementing a Data Science Solution in Azure  DP-203: Data Engineering on Microsoft Azure  DP-300: Managing Relational Databases on Microsoft Azure  AI-900: Microsoft Azure AI Fundamentals  AZ-900: Microsoft Azure Fundamentals  DP-420: Designing and Implementing Cloud-Native Applications with Microsoft Azure Cosmos DB