Data Warehouse Analyst (m/f/d) Data Analysis and Development Department

Job ID: 3547674

Data Warehouse Analyst (m/f/d) Data Analysis and Development Department

Warsaw

Professional

Application deadline: 30.12.2026

Other Employment Type

T-Mobile Polska

Your Task

• Analysis of existing solutions and data flows in Oracle and Hadoop environments.
• Collection and refinement of business and analytical requirements.
• Design target data models in the GCP environment according to Medallion architecture (Bronze, Silver, Gold).
• Creation of documentation, source-to-target mappings and functional and technical specifications.
• Defining data transformation policies and supporting migration processes to GCP.
• Collaboration with architects, data engineers and business stakeholders.
• Participate in testing, validation of solutions and monitoring of data quality.

Your Profile

• Minimum 3 years of experience as a Data Analyst, System Analyst or similar.
• Very good knowledge of SQL and experience in working with data warehouses.
• Ability to analyze ETL logic and data modeling.
• Knowledge of Medallion architecture (Bronze, Silver, Gold) and design of analytical models and date of mars.
• Experience in preparing source-to-target mappings and analytical documentation.
• Knowledge of Google Cloud Platform (BigQuery, Pub/Sub, Cloud Composer) is welcome.
• Experience in migration projects or the transformation of data environments will be an added asset.

Soft Competences:

• Self-reliance and proactivity.
• Ability to conduct end-to-end analysis.
• Communicative skills and ability to collaborate with business and technology teams.
• Good organization of work and freedom of movement in technical documentation.

About Us

To join our Data Enablement team, we are looking for an experienced analyst to support us in a large, strategic migration program of data products from the existing Oracle/Hadoop platform to Google Cloud Platform (GCP).

We are looking for someone who has a good understanding of data warehouses, can analyze data flows and models, and collaborate with development teams to successfully migrate solutions to a modern cloud environment.