Consultant Data Engineer (REF4561M)

AI overview

Analyze complex IT solutions and design target architectures for data processing while collaborating with cross-functional teams to enhance service reporting.

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

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)

* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.