Data Modeller
FNB South Africa · Johannesburg, Gauteng
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- 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