Data Modeller at FNB South Africa

Job Description

• To provide expertise, advice and support by executing data modelling standards, principles, frameworks and tools within area of accountability; under guidance and supervision designing and developing of logical and physical data models and databases to meet the needs of the organisation's information systems and business requirements; and coordinate and priorities data modelling within business area.
• Design and implement data modelling solutions which include, but are not limited to, the use of relational, dimensional and NoSQL databases
• Develop and maintain conceptual, logical and physical data models as required by the SARB business units and their various projects and business-as-usual operations
• Identify and adopt an enterprise data model as a standard for data model designs to leverage best practice and fast-track modelling efforts.
• Monitor, measure and report the data modelling and data development quality levels to ensure the correct entities and objects are captured as per business requirements.
• Amend data model designs as well as update data entities and objects emanating from business process changes.
• Perform the reverse engineering of physical data models from existing databases and SQL scripts.
• Ensure that the coverage of entities necessary to respond to the business requirement is accounted for in the data models.
• Develop and manage stakeholder relations effectively to promote data modelling awareness across the organisation and support reliable decision-making.
• Deliver test scripts for the data models and see the data models through implementation.
• Deliver all the necessary supporting documents relating to data modelling.
• Develop reports pertaining to data modelling and associated activities.
• Drive the automation of data modelling management processes and functions.

Qualifications and Experience

• A relevant Bachelor qualification
• Minimum 4 - 5 years' experience in a data environment with hands-on relational, dimensional and analytic experience
• Experience with data warehouse, data lake and enterprise big data platforms in multi-data-center contexts required.
• Proven experience in modeling end-to-end payment lifecycles, including clearing, settlement and reconciliation processes (e.g. Swift, ISO20022).
• Knowledge of logical data modelling, and use of industry data models (e.g. IBM, Teradata, etc.).
• Knowledge of dimensional data modelling using Kimball methodology.
• Understanding of the Inmon methodology.
• Developing data models in a banking environment with specific focus on payment systems.
• Understanding and experience in implementing data management domains and technologies (e.g. data modelling, metadata management, data quality and profiling, information architecture, etc.).

End Date: September 2, 2026