Key Responsibilities:

- Design and maintain conceptual, logical, and physical data models for RFDH initiatives.

- Analyse business and regulatory requirements and translate them into scalable data structures.

- Collaborate with business stakeholders, data architects, and development teams to define data requirements and data flows.

- Develop and maintain source-to-target mappings and transformation specifications.

- Support onboarding of new data sources into the Risk Finance Data Hub.

- Conduct data impact assessments and support change management activities.

- Perform data profiling and data quality analysis to identify gaps and remediation opportunities.

Required Qualifications:

- 5+ years of experience in Data Modelling and Data Warehousing.

- Strong experience in conceptual, logical, and physical data modelling.

- Strong SQL skills with experience analysing complex datasets.

- Experience with source-to-target mapping and data lineage documentation.

- Solid understanding of dimensional modelling, normalization, and data integration principles.

Database Technologies:

- SQL/Oracle/SQL Server

Tools:

- AWS, Erwin Data Modeler, Redshift, Jira, Confluence

Nice to Have:

- Experience working with banking data environments.

- Knowledge of regulatory data aggregation and reporting requirements

Skills:

- Data warehouse, source to target, aws, data modeling