Data Modeler - Finance & Analytics

Capgemini; Województwo wielkopolskie; Hybrid; PLN 140,000 - 180,000; Full time

Benefits offered by this job

Medicover care

Private life insurance

Multisport card

Helpline therapy

Job summary

Capgemini is looking for a Data Modeler to join a strategic transformation program in Financial Services. You will design enterprise-grade data models supporting analytics, risk management, and regulatory reporting within a hybrid-capable environment.

You will translate regulatory requirements into scalable data structures, define entities and mappings, and collaborate with Data Engineers, Architects, and Analysts while upholding data governance and quality standards.

Qualifications

• Strong experience in Data Modelling within Financial Services or Investment Banking.
• Knowledge of conceptual, logical, and physical data modelling.
• Experience with dimensional modelling (Star/Snowflake).
• Exposure to Data Vault modelling.
• Understanding of data lineage, metadata, and data quality.
• Experience with Databricks / Lakehouse architecture.

Responsibilities

• Design conceptual, logical, and physical data models.
• Translate business and regulatory requirements into scalable data structures.
• Define data entities, relationships, hierarchies, and source-to-target mappings.
• Collaborate with Data Engineers, Architects, and Business Analysts.
• Ensure data quality, lineage, governance, and regulatory compliance.
• Contribute to data modelling standards and best practices.

Skills

Data modelling

Conceptual/Logical/Physical modelling

Dimensional modelling

Data Vault modelling

Data lineage & governance

Lakehouse architecture

Tools

Databricks

Azure Analytics

Job description

Capgemini is looking for a Data Modeler to join a strategic transformation program in Financial Services. You will design enterprise-grade data models supporting analytics, risk management, and regulatory reporting within a hybrid-capable environment.

You will translate regulatory requirements into scalable data structures, define entities and mappings, and collaborate with Data Engineers, Architects, and Analysts while upholding data governance and quality standards.