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September 17, 2026

Data Modeler

Senior • On-site

228,800 - 270,400 PLN/yr

Wrocław, DS, Poland

Quick Facts

  • Role: Data Modeler (Financial Services / Investment Banking)
  • Work model: Hybrid (2 days/week in Wrocław/Poznań)
  • Project timeline: until end of 2026 (possible extension)
  • Budget: 110–130 PLN net/hour (B2B)
  • Eligibility: EU citizenship and residence in Poland

Description

Design and maintain conceptual, logical, and physical enterprise data models for modern data platforms. Translate business and regulatory requirements into robust data structures that support analytics, risk, regulatory reporting, lineage, auditability, and data quality. Collaborate with Business Analysts, Data Engineers, Architects, and governance teams to ensure scalable and consistent models.

Responsibilities

  • Design and manage data entities, relationships, keys, and hierarchies across domains
  • Define source-to-target mappings and canonical models to support data integration
  • Partner with Data Engineers to ensure models are implemented correctly in Lakehouse/warehouse environments
  • Contribute to data standards, naming conventions, modelling best practices, and documentation

Requirements

  • 5+ years of experience in data modelling roles within Financial Services or Investment Banking
  • Strong experience modelling data for analytics, reporting, risk, or regulatory use cases
  • Knowledge of modern data platforms: Databricks/Lakehouse architectures
  • Experience with cloud data environments (e.g., Azure)
  • Integration with ETL/ELT pipelines and analytical layers
  • Strong SQL skills for validating models and supporting analysis
  • Collaboration tools: Jira, Confluence, and version control
  • Proven track record in data-intensive, integration-heavy environments
  • Strong knowledge of data modelling techniques (conceptual/logical/physical)
  • Dimensional modelling experience (star/snowflake schemas)
  • (Highly desirable) Data Vault modelling for regulatory and audit use cases
  • Understanding of data lineage, metadata, and data quality principles
  • Familiarity with modelling tools and documentation standards
  • Very good English skills

Benefits

  • Hybrid working model
  • Full-time B2B agreement
  • Private medical care with dental care (70% coverage)
  • Multisport card (for accompanying person as well)
  • Life insurance

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