Consultant Data Engineer @ Deutsche Telekom TSI Hungary Kft. Budapest, Debrecen, Pécs, Szeged

Consultant Data Engineer @ Deutsche Telekom TSI Hungary Kft.

Budapest, Debrecen, Pécs, Szeged

General 

• Knowledge of Telekom (preferred but not mandatory)
• Strong communication skills
• Ability to abstract
• Analytical thinking
• German language skills (preferred but not mandatory)

Conceptual Knowledge 

• Data Products / Data Mesh (preferred but not mandatory)
• Business process modeling (preferred but not mandatory)
• UML (including data modeling)
• Modeling tools (e.g., Innovator)
• Data Warehouse / Data Lake

DevOps and Programming Languages 

• GitLab configuration and development
• Python in the context of pipelines (preferred but not mandatory)
• SQL
• C# (preferred but not mandatory)
• Cloud computing (Azure, GCP, or similar)
• Jira

DWH and Reporting Tools 

• SQL Server relational databases
• SQL Server Integration Services
• SQL Server Analysis Services
• Power BI
• Snowflake (preferred but not mandatory)

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.

,[Analysis of IT solutions within the entire service reporting environment:Conducting interviews with architects, data engineers, and software developers, Analyzing the contents of existing databases (>100) and their interfaces with each other and other source systems, Creating suitable models that describe databases, information flows, and data products, as well as their relationships:Visualization of data flows within the solutions at the technical level, Description of data products and their complexity in IT representation, Deriving concrete measures to harmonize and reduce the complexity of existing IT solutions:Identifying solution-specific variations of identical information, Designing a target architecture for all technically necessary data processing and the required interfaces] Requirements: UML, Modeling tools, Data Warehouse / Data Lake, GitLab, Python, SQL, Cloud computing, Jira, Power BI, Data Products / Data Mesh, Business process modeling, C#, Snowflake Additionally: Sport subscription, Private healthcare, International projects, Training budget, Mobiltelefon, Free coffee, Canteen, Bike parking, Playroom, Shower, Free parking, In-house trainings, In-house hack days, Modern office, No dress code.

Kategorie

data

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