WF
WFS Data Modeler
- Hiring from
- South Africa
- Work type
- Hybrid
- Posted
- Sep 28, 2026
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About Us
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.
Job Description
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.
- Implement
models across AWS services (Redshift, RDS, S3, Glue, DynamoDB)
- 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.
Requirements
Key Competencies
- 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.
Additional Experience
- 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.
Key
Competencies
- 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 of
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 mind-set
- Hard working and results driven
- Team player
- Excellent communication skills