WFS Data Modeler

Woolworths Financial Services; Cape Town; Hybrid; ZAR 600 000 - 800 000; Full time

Job summary

A leading financial services provider is seeking a Data Modeler based in Cape Town to design and implement scalable data models that support cloud-native architecture. The ideal candidate will work cross-functionally with teams to ensure data performance, consistency, and compliance. A Bachelor’s degree and over 3 years of data modeling experience are required, along with strong AWS skills. The role offers competitive benefits and flexible working conditions.

Benefits

Competitive compensation and benefits

Opportunities for professional development

Flexible work options

Qualifications

• 3+ years of hands-on experience in data modelling and architecture.
• Proficient in SQL and data modelling tools.
• Experience with relational, dimensional, and NoSQL modelling.

Responsibilities

• Design and maintain conceptual, logical, and physical data models.
• Optimize data models for performance, scalability, and cost-efficiency in the cloud.
• Ensure data integrity, lineage, and governance through modelling best practices.

Skills

SQL

Data modeling tools (ER/Studio, ERwin, dbt)

AWS data services (Redshift, RDS, S3, Glue, Athena, DynamoDB)

Agile methodologies

Understanding of streaming platforms (e.g., Kafka, Kinesis)

Education

Bachelor’s degree in computer science, Information Systems, Data Science, or related

Tools

AWS certification (Data Analytics or Solutions Architect)

Confluent Cloud

Job description

Woolworths Financial Services | Full time

WFS Data Modeler

Cape Town, South Africa | Posted on 09/03/2025

Woolworths Financial Services, or WFS as it is better known, is a Joint Venture with Absa Bank, that supports the Woolworths retail business by providing in-store credit in the form of the Woolworths StoreCard and offering value-added services including credit cards, personal loans and short-term insurance as well as life insurance linked to other products.

Job Description

As a Data Modeler, you will be responsible for designing and implementing conceptual, logical, and physical data models that support WFS’s cloud-native architecture. You will work cross-functionally with data engineers, analysts, and product teams to translate business requirements into scalable data structures, ensuring performance, consistency, and compliance across the data ecosystem.

Requirements

Main Purpose

As a Data Modeler, you will be responsible for designing and implementing conceptual, logical, and physical data models that support WFS’s cloud-native architecture. You will work cross-functionally with data engineers, analysts, and product teams to translate business requirements into scalable data structures, ensuring performance, consistency, and compliance across the data ecosystem.

Key Responsibilities

• Design and maintain conceptual, logical, and physical data models.
• Establish and enforce data modelling standards, naming conventions, and metadata practices.
• Collaborate with business stakeholders to translate needs into efficient data structures.
• Optimize data models for performance, scalability, and cost-efficiency in the cloud.
• Ensure data integrity, lineage, and governance through modelling best practices.
• Support secure, compliant, and well-documented data architecture design.
• Participate in data integration and transformation efforts across systems.
• Maintain and update ER diagrams, data dictionaries, and related documentation.
• Bachelor’s degree in computer science, Information Systems, Data Science, or related.
• 3+ years of hands-on experience in data modelling and architecture.
• Strong command of AWS data services: Redshift, RDS, S3, Glue, Athena, DynamoDB.
• Proficient in SQL and data modelling tools (ER/Studio, ERwin, dbt, etc.).
• Experience with relational, dimensional, and NoSQL modelling.
• Understanding of streaming platforms (e.g., Kafka, Kinesis).
• Experience with data warehouse and Lakehouse architectures.
• Familiar with Agile methodologies and cross-functional team collaboration.

Preferred Qualifications

• Hands-on experience with Confluent Cloud and Kafka.
• Understanding of data governance frameworks and cataloguing tools.
• Exposure to CI/CD, Terraform, and DataOps pipelines.
• AWS certification (e.g., Data Analytics or Solutions Architect) is a plus.
• Excellent communication and documentation skills.
• Ability to simplify complex data concepts for diverse audiences.
• Proactive, collaborative, and solution-oriented mindset.

What We Offer

• A cloud-native environment focused on innovation and learning.
• Opportunities for professional development and AWS certification support.
• Competitive compensation and benefits.
• Flexible work options, including hybrid or remote work.
• A culture of collaboration and data-driven impact.

Personal Attributes

• Curiosity and passion for understanding technology
• Analytical, with an affinity to solve problems
• Ability to work under pressure in a fast-paced, dynamic environment
• Eager to embrace unfamiliar situations with a positive mindset