Expert Developer – Data Analytics & Data Engineering - REF5086I

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. 

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 

• 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  

* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.