Expert Developer – Data Analytics & Data Engineering - REF5086I
Location: Budapest, hu
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. DT-ITS recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.
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
* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.
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