Data Modeler — Financial Services Analytics & Governance

Capgemini; Wrocław; Hybrid; PLN 150,000 - 230,000; Full time

Benefits offered by this job

Medicover health

Private life insurance

Multisport card

Capgemini Helpline

NEXT training platform access

Job summary

Capgemini Poland is seeking a Data Modeler to design enterprise-grade data models for analytics, risk management, and regulatory reporting within Financial Services. You will shape conceptual, logical, and physical data models and collaborate with data engineers and analysts to translate regulatory requirements into scalable structures.

The role embraces a hybrid work model with a strong focus on data quality, governance, and modern cloud data platforms, offering extensive training and career

Qualifications

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

Dimensional modelling

Data vault modelling

Data lineage

Databricks / Lakehouse

Tools

Azure analytics

Job description

Capgemini Poland is seeking a Data Modeler to design enterprise-grade data models for analytics, risk management, and regulatory reporting within Financial Services. You will shape conceptual, logical, and physical data models and collaborate with data engineers and analysts to translate regulatory requirements into scalable structures.

The role embraces a hybrid work model with a strong focus on data quality, governance, and modern cloud data platforms, offering extensive training and career