Expert Developer – Data Analytics & Data Engineering - REF5086I

Employer · Deutsche Telekom IT Solutions

Software developerSystems analystDatabase administratorFull-time

Budapest

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 evolving our traditional data warehouse landscape into a centralized T-Systems Lakehouse architecture to optimize and enhance efficiency.

Tasks

  • Design IT platforms, processes, and organizational structures for our evolving Lakehouse on Azure, leveraging Databricks, Data Factory, Data Lake Storage, Event Hub, and other 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.

Requirements

  • Degree in (Business) Informatics, Business Administration, or equivalent practical experience.
  • At least 5 years of experience in data engineering architecture.
  • 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.
  • 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.

Posted Oct 26, 2026 · Updated 8 days ago · 0 views