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.