Data Modeler

In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are looking for an experienced Data Modeler to support the design and evolution of enterprise‑grade data models for modern data platforms in Financial Services and Investment Banking. The role focuses on shaping logical and physical data structures that underpin analytics, risk, regulatory reporting, and business‑critical decision‑making. The Data Modeler works closely with Business Analysts, Data Engineers, Architects, and governance teams to ensure data structures are consistent, scalable, auditable, and aligned with business and regulatory requirements.

Project information

• Type of project: IT Services
• Office location: Wrocław/ Poznań
• Work model: Hybrid mode - 2 days per week in the office in Wro/Poz
• Budget: 110 - 130 PLN net/ h - b2b
• Project length: till the end of 2026, possible to extend it
• Only candidates with citizenship in the European Union and residence in Poland
• Start date: ASAP

Project scope

• Design and maintain conceptual, logical, and physical data models for enterprise data platforms
• Translate business and regulatory requirements into robust data structures
• Define and manage data entities, relationships, keys, and hierarchies across domains
• Support data integration initiatives by defining source‑to‑target mappings and canonical models
• Work closely with Data Engineers to ensure models are implemented correctly in Lakehouse / warehouse environments
• Ensure data models support regulatory reporting, lineage, auditability, and data quality requirements
• Contribute to data standards, naming conventions, modelling best practices, and documentation

Competence demands

• 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 to validate models and support data analysis
• Knowledge of collaboration tools: Jira, Confluence, version control systems
• Proven track record working with data‑intensive and integration‑heavy environments
• Strong knowledge of data modelling techniques (conceptual, logical, physical)
• Experience with dimensional modelling, star/snowflake schemas
• Exposure to Data Vault modelling (highly desirable 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

Nice to have

• Experience with Data Mesh concepts and domain‑oriented modelling
• Exposure to risk, credit, or regulatory reporting domains
• Background in working with Azure‑based analytics platforms

We offer

• Hybrid working model
• Dynamic and innovation-driven engineering environment
• Full-time job agreement based on b2b
• Private medical care with dental care (covering 70% of costs)
• Multisport card (also for an accompanying person)
• Life insurance