WFS Data Modeler

Woolworths Financial Services | Full time

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 Store Card and offering value-added services including credit cards, personal loans and short-term insurance as well as life insurance linked to other products.

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.

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.

• 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, Dynamo
  
  DB.
• Proficient in SQL and data modelling tools (ER/Studio, ERwin, dbt, etc.).
• Experience with relational, dimensional, and No
  
  SQL 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.

• Hands-on experience with Confluent Cloud and Kafka.
• Understanding of data governance frameworks and cataloguing tools.
• Exposure to CI/CD, Terraform, and Data Ops 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.

• 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.

• 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