Data Modeler

Cyclad Show all offers

110 - 130 PLN / hour

Wrocław

6 days ago

In short

Data Modeler for a hybrid role in Wrocław/Poznań, supporting international IT companies in Financial Services. Responsibilities include designing data models for analytics, risk, and reporting. Requires 5+ years experience, SQL, modern data platforms (Databricks/Azure), and excellent English. Contract length until end of 2026 with potential extension.

Keywords

data modeling sql databricks azure etl elt jira confluence data vault dimensional modeling

AI-written summary based on the listing content.

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