Hybrid Data Modeler | Architecting Enterprise Data

Antal Poland; Kraków; Hybrid; PLN 120,000 - 170,000; Full time

Job summary

Antal Poland is seeking a Data Modelling specialist in Kraków to design, implement, and document data architectures across SQL, NoSQL, and cloud platforms. The role focuses on building conceptual, logical, and physical data models to support BI, analytics, and data science initiatives.

You will collaborate with Data CIOs and product teams, govern data standards, and drive data modelling best practices while working in a hybrid setup (2 days in the office, 3 days remote).

Qualifications

• 3+ years of hands-on relational, dimensional, and/or analytic experience with RDBMS, dimensional, NoSQL data platforms and ETL/data ingestion protocols.
• MongoDB experience would be an advantage.
• Experience with data warehouse, data lake, and enterprise big data platforms is preferred.

Responsibilities

• Implement data strategies and designs across all data platforms (SQL/NoSQL) and data tools (reporting, analytics, ML).
• Collaborate with business and solution teams to develop data models and data flows.
• Define and govern data modelling standards, tools, and best practices for enterprise data models.
• Identify data sources, interfaces, and security considerations for automated data loads and analytics models.
• Hands-on data modelling, design, configuration, and performance tuning; create sandbox POCs.
• Work independently and with teams to meet project requirements and reduce delivery risks.

Skills

Relational data modeling

Dimensional modeling

NoSQL data platforms

ETL and data ingestion

MongoDB

Tools

Erwin

Visual Paradigm

MongoDB

Job description

Antal Poland is seeking a Data Modelling specialist in Kraków to design, implement, and document data architectures across SQL, NoSQL, and cloud platforms. The role focuses on building conceptual, logical, and physical data models to support BI, analytics, and data science initiatives.

You will collaborate with Data CIOs and product teams, govern data standards, and drive data modelling best practices while working in a hybrid setup (2 days in the office, 3 days remote).