Data Modeller
Listed on 2026-02-18
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IT/Tech
Data Engineer, Data Analyst, Data Warehousing, Data Scientist
Description
Hello future Data ModellerWelcome to FNB, the home of the #changeables. We design for the shapeshifters and deliver products and services that make us incredibly proud of people that make it happen
As part of our iDNA Team, you will be surrounded by unique talents, diverse minds, and an adaptable environment that lives up to the promise of staying curious. Now’s the time to imagine your potential in a team where experts come together and ignite effective change
Are you someone who can
Execute on data modelling standards, principles, frameworks and tools
Coordinate and prioritise the data modelling work within the Business area
Involved in the entire data modelling lifecycle i.e. Logical to Implemented Physical Model and Semantic Model
Understand the reference and master data requirements and co-ordinate the use of surrogate keys and enterprise code values when building out data products with relevant stakeholders
Provide input into key metrics related to measuring the progress with respect to data modelling
Optimise and update logical and physical data models to support new and existing projects for Business area
Ensure that the source to target mapping is done in accordance to the requirement
Maintain all extract, transform, load (ETL) and business rules within the data model
Maintain all model related metadata
Recommend opportunities for reuse of data models in new environments
Review modifications to existing data modeling software to improve efficiency and performance
Evaluate data models and physical databases for variances and discrepancies
Ensure modelling standards and principles are always adhered to
Develop modelling standards and principles as needed
You will be an ideal candidate if you have experience in
Knowledge of logical data modelling, and use of industry data models (e.g.IBM, Teradata, etc.).
Understanding of the Inmon methodology
Experience working in data warehousing environment with good understanding of data ingestion, enterprise alignment (ETL) and design based on consumption requirements
Knowledge of dimensional data modelling using Kimball methodology
Experience using data modelling technologies such as Erwin.
Developing data models in a banking environment. Understanding and experience in implementing data management domains and technologies (e.g. data modelling, metadata management, data quality and profiling, information architecture, etc.).
Experience in networking and team collaboration, communication, and presentation.
Experience
4-5 years experience in a data environment with hands-on relational, dimensional, and/or analytic experience (using relational database management systems (RDBMS), dimensional, No
SQL data platform technologies, and extract, transform, load (ETL) and data ingestion protocols). Experience with data warehouse, data lake, lake house and enterprise big data platforms in multi-data-center contexts required
#LI-TK1
Job Details
Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.
27/02/26All appointments will be made in line with First Rand 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.
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