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.).

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Important Closing Date Note

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

02/09/26

All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.