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.