15 Data Models jobs in South Africa

Eduvos is looking to hire the services of an Independent Contractor, Data Analysis Lecturer, at our Durban campus on a part-time basis.

Type of appointment:

Independent Contractor (part-time; flexible workhours agreement)

Purpose:

• To lecture Data Analysis-related modules, in the Law faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Minimum qualifications required:

• Honours degree in Statistics/ Data Science / Mathematics/ Computer Science/ Information Systems or a relevant qualification (A Masters qualification will be an advantage)

Experience:

• Minimum: 1 - 2 years relevant lecturing experience
• Necessary knowledge of higher education practices and processes
• Relevant research experience

Modules to be lectured:

• Introduction to Data Analysis
• Computer Skills (All Levels)

Responsibilities:

• Lecturing
• General administration
• Setting and marking of assessments
• Preparation of notes and additional study materials
• Quality Assurance
• Management of At-risk students

Competencies

• Initiative and responsibility
• Constructive teamwork, relations and networking
• Influence
• Analysis and judgement
• Innovation and change
• Systematic approach (planning and organising)
• Steadiness (emotional tenacity)
• Communication

Eduvos is looking to hire the services of an Independent Contractor, Data Analytics and Data Analysis Lecturer, at our Vanderbijlpark campus on a part-time basis.

Type of appointment:

Independent Contractor (part-time; flexible workhours agreement)

Purpose:

• To lecture Commerce-related modules, in the faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Minimum qualifications required:

• Honours in ITC
• Certificate in Power BI

Experience:

• Relevant lecturing experience
• Necessary knowledge of higher education practices and processes
• Relevant research experience

Modules to be lectured:

• Data Analytics (Power BI)
• Data Analysis

Responsibilities:

• Lecturing
• General administration
• Setting and marking of assessments
• Preparation of notes and additional study materials
• Quality Assurance
• Management of At-risk students

Competencies

• Initiative and responsibility
• Constructive teamwork, relations and networking
• Influence
• Analysis and judgement
• Innovation and change
• Systematic approach (planning and organising)
• Steadiness (emotional tenacity)
• Communication

Project:
Implementation Study on the Dapivirine Vaginal Ring

Location:
Remote

Duration:
12 months, part-time consultancy basis

Application Deadline:
20 October 2025

Background

An implementation study on the dapivirine vaginal ring (DVR) was conducted in South Africa, Kenya, Zimbabwe, Lesotho, Uganda and Eswatini. The study generated quantitative data on uptake, adherence, and user experiences. We are seeking a qualified Biostatistician to support data analysis for an implementation study on the dapivirine vaginal ring, a long-acting biomedical HIV prevention method. The consultant will analyze quantitative data on uptake, adherence, and user experiences, producing report and publication-ready results to inform regulatory, policy and programmatic decisions.

Scope of Work

· Review study protocol, objectives, and datasets.

· Develop and finalize a statistical analysis plan (SAP).

· Clean and merge datasets

· Conduct appropriate statistical analyses, including descriptive, inferential, and multivariable analyses

· Provide guidance on data quality, management, and handling of missing data.

· Generate report and publication-ready tables, figures, and outputs.

· Contribute to interpretation of findings and drafting of results sections for reports and manuscripts.

· Participate in virtual meetings with the study team as needed.

Deliverables

· Finalize statistical analysis plan.

· Clean and merge datasets

· Write reproducible code (Stata/R/SAS preferred) and conduct appropriate statistical analyses.

· Comprehensive results tables and figures (report and publication ready).

· Analytical report summarizing findings.

· Contributions to reports, manuscripts, policy briefs, and presentations as needed.

Qualifications

· Advanced degree (MSc) in Biostatistics, Statistics, or related quantitative field, PhD preferrable.

· Demonstrated experience in analyzing implementation science or public health studies.

· Proficiency in Stata, R, or SAS.

· Strong track record of peer-reviewed publications or reports.

· Familiarity with HIV prevention research and/or women's health interventions desirable.

· Excellent communication skills and ability to work collaboratively with multidisciplinary teams.

Level of Effort & Duration

Estimated 12 days per month (3 days/week) over 12 months (with flexibility based on agreed scope) from 01 November 2025 to 31 October 2026. Remote, with communication primarily via email/virtual meetings.

How to Apply

Interested applicants should submit:

1. Cover letter outlining relevant experience.

2. CV (max 4 pages).

3. Example(s) of previous analysis outputs (tables/figures/manuscript contributions).

4. Proposed daily or monthly consultancy rate.

Send applications to:

Deadline: 20 October 2025

Lead Developer

3 Months Renewable Contract

Available Immediately

Banking

Role Overview

We are seeking a highly skilled
Lead Developer
with strong expertise in
data architecture, data engineering, data modelling, and SQL
to join our team in the banking sector. The successful candidate will play a critical role in designing, building, and optimizing scalable data solutions while providing technical leadership and mentorship to a junior team of developers and analysts. This role requires both hands-on technical expertise and the ability to guide and upskill a growing team.

Key Responsibilities

• Lead the design, development, and implementation of
  robust data architectures
  to support banking applications and analytics.
• Develop, optimize, and maintain
  ETL/ELT pipelines, data warehouses, and data lakes
  .
• Drive the design and enforcement of
  data modelling standards
  to ensure accuracy, consistency, and scalability across systems.
• Write efficient and optimized
  SQL queries
  , stored procedures, and database scripts for complex data processing.
• Collaborate with stakeholders across business and IT to translate requirements into scalable technical solutions.
• Ensure data solutions are compliant with
  regulatory, governance, and security requirements
  in the banking sector.
• Provide
  hands-on technical leadership
  , code reviews, and best practices to elevate the technical quality of deliverables.
• Mentor, coach, and upskill a junior team of developers and analysts, fostering a culture of knowledge sharing and continuous improvement.
• Stay current with industry trends, emerging technologies, and best practices in
  data engineering and architecture
  .

Key Skills & Competencies

• Strong leadership and
  mentorship abilities
  , with proven experience developing junior talent.
• Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts to non-technical audiences.
• Strong problem-solving skills, analytical thinking, and attention to detail.
• Ability to work under pressure in a
  regulated and fast-paced banking environment
  .

Technical Requirements

• Proven expertise in
  SQL development
  (query optimization, stored procedures, performance tuning).
• Strong knowledge of
  data architecture and data modelling principles
  (relational, dimensional, and NoSQL).
• Experience with
  data engineering frameworks
  and technologies (e.g., Python, Spark, Kafka, Airflow, or similar).
• Experience designing and managing
  data warehouses and/or data lakes
  (e.g., Snowflake, Redshift, BigQuery, or equivalent).
• Proficiency in
  ETL/ELT design and implementation
  .
• Familiarity with
  cloud platforms
  (AWS, Azure, or GCP) and their data services.
• Strong understanding of
  data governance, data quality, and security practices
  within financial services.

Qualifications & Experience

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's advantageous).
• 8+ years of experience in
  data engineering, data architecture, and SQL development
  .
• 3+ years in a
  leadership or senior developer role
  , with mentorship experience.
• Prior experience in the
  banking or financial services sector
  is strongly preferred.

At
X, bigly labs
, we're Dis-Chem's high-performance innovation hub, where bold ideas meet data, design, and radical customer focus. Our mission is simple:
power the future of healthcare
by lowering costs, improving outcomes, and unlocking new possibilities. We're driven by one big question:
How do we use data + technology today to create healthier lives tomorrow?
Here, we don't just imagine the future,
we build it
. From cutting-edge digital solutions to smarter, patient-focused experiences, we're reimagining health tech to make breakthroughs possible.

Welcome to
X, bigly labs.
This is healthcare, reimagined.

From retail and pharmacy to clinics, insurance and beyond, we're applying machine learning and smart systems to reimagine healthcare pathways and create personalised experiences at scale. Here, your work doesn't sit in a notebook or on a whiteboard. It becomes real. It shapes decisions. It improves lives. And we do it all the Bigly way, questioning, challenging, and building audaciously, together.

We are seeking a visionary
Data Engineering and Architecture Lead
to lead the design, development, and optimisation of our enterprise data ecosystem. This role is responsible for building scalable, secure, and high-performance data platforms that power analytics, AI, and operational excellence across Dischem and its affiliated businesses. You will be the architect of our data assets by ensuring that our data infrastructure is not only robust and compliant, but also agile enough to support innovation in healthcare, retail, insurance, and beyond.

WHAT WE'RE LOOKING FOR?
Minimum

• Bachelor's degree (or the equivalent) in Computer Science, Data Engineering, or related field
• 7+ years of experience in data engineering or architecture, with 3+ years in a leadership role
• Deep expertise in SQL, Python or/and Spark, Cloud platforms (Azure or AWS) and cloud-native tools (e.g. DataBricks)
• Proven experience designing, implementing scaling enterprise data platforms using the Medallion Architecture
• Strong understanding of data governance, security, and compliance frameworks
• Excellent leadership, communication, and stakeholder engagement skills

Advantageous

• Experience in healthcare, retail, or insurance data ecosystems
• Familiarity with data mesh, lakehouse architecture and real-time data processing
• Certifications in cloud architecture or data engineering

WHAT YOU WILL BE DOING?

• Enterprise Data Architecture
• Data Engineering Leadership
• Platform Enablement & Innovation
• Stakeholder Engagement & Governance
• Enterprise Data Architecture
• Data Engineering Leadership
• Platform Enablement & Innovation
• Financial & Vendor Management

WHO YOU ARE?

• Structured thinking and systems problem-solving
• Commercial fluency and ability to articulate value levers
• Strategic clarity balanced with practical execution
• Able to co-create solutions with technical teams
• Influences without authority and facilitates decision forums
• Drives initiatives independently with high standards of quality

Our values aren't just ideals, they're the through-lines in how we think, build, and make decisions that impact real lives. From bold experimentation in digital solutions to platforms built on integrity, we're shaping a culture designed for
progress that lasts
. It's a culture that
designs for the future
, asks better questions, and answers them with care, urgency, and systems that scale.

Think you've got the energy, the curiosity, and the guts? Stay close
b
igly things are ahead.

We’re building the next-generation data backbone for a dynamic organisation.

We create scalable, secure, cloud-first platforms that power analytics, AI, and business intelligence across the enterprise.

Currently searching for a Data Engineering and Architecture Lead with deep AWS Cloud expertise and a passion for solving complex data challenges.

Requirements:

• Bachelor’s degree in computer science, information systems, or related field
• 10+ years’ experience in data engineering or architecture
• 5+ years leadership experience
• 5+ years architectural experience
• Proven experience with AWS services (S3, Glue, Redshift, Lambda, EMR, Athena)
• Expertise in SQL, Python, and ETL/ELT development
• Knowledge of data modelling (Kimball, Data Vault) and data governance
• Leadership experience managing technical teams

Responsibilities:

• Lead design and implementation of enterprise data architecture and integration strategies
• Build and manage scalable, high-performance data pipelines
• Ensure data availability and quality to support analytics, BI, and AI initiatives
• Collaborate with business and technology teams to translate requirements into solutions
• Define best practices, enforce standards, and mentor a team of data engineers

Reference number for this position is GZ60852 which is a permanent position based in Melrose Arch offering a cost to company salary of R1.8m per annum negotiable on experience and ability. Contact Garth on or call him on to discuss this and other opportunities.

Are you ready for a change of scenery? The E-Merge IT recruitment is a specialist niche recruitment agency. We offer our candidates options so that we can successfully place the right developers with the right companies in the right roles. Check out the E-Merge website for more great positions.

Do you have a friend who is a developer or technology specialist? We pay cash for successful referrals!

PBT Group has an opportunity for a Data Modeler to provide expertise, advice and support by designing and developing logical and physical data models and databases to meet the needs of the organisations information systems and business requirements.

The Data Modeller is responsible for data standards and procedures, warehousing, distributed data management and information management functions.

Duties:

1. Manage cost related to income to increase profitability and efficiencies for the business

• Increase operational efficiency and suggest solutions to enhance cost effectiveness and prevent wastage
• Identify process improvements in order to save costs
• Identify, control and escalate potential risks which may lead to increased costs
• Deliver against operational and cost targets

1. Delivers internal and external customer service excellence through adherence to quality service standards for data management

• Adhere to shared company values and service standards with regard to customer interaction.
• Resolve customer dissatisfaction/complaints by taking ownership of the problem.
• Analyse customer feedback to help improve customer service.
• Ensure that delivery is accurate, timeous and of an acceptable standard.
• Ensure that product knowledge and advice is technically accurate.
• Know and understand customer needs in order to deliver a quality service.
• Propose ideas to improve customer service

1. Coordinate data models, dictionaries, and other database documentation across multiple applications

• Maintain the data dictionary internal and external to the data model
• Maintain the business glossary internal and external to the data model

1. Create logical and physical data models using best practices to ensure high data quality and reduced redundancy

• Optimize and update logical and physical data models to support new and existing projects
• Ensure that the source to target mapping is done in accordance to the requirement
• Maintain all ETL and business rules within the data model
• Maintain all model related metadata
• Develop best practices for standard naming conventions and coding practices to ensure consistency of data models
• Recommend opportunities for reuse of data models in new environments
• Work with data transformation teams to ensure that the model design and development is properly communicated
• Review modifications to existing data modeling software to improve efficiency and performance

1. Develop and maintain the Business Matrix

• Manage the flow of information between departments using the data model design

1. Develop policies and procedures related to development and support of new and ongoing systems to ensure the integrity of data

• Assure transformation rules are maintained, accurate and consistent

1. Perform reverse engineering of physical data models from databases and SQL scripts

• Validate business data objects for accuracy and completeness
• Evaluate data models and physical databases for variances and discrepancies

1. Continuously assess own performance, seek timely and clear feedback and request training where appropriate

• Identify effective activities to address own development gaps.
• Create own development plan and review plan with team leader.
• Understand which competencies and skills are required to be mastered to ensure personal development and performance

Experience:

• 6 to 8 years related experience
• Strong technical and statistical model building, including scorecard and capital modeling
• MySQL Workbench, Erwin Data Modeller, MS Visio + Strong experience in Hybrid cloud environments, Strong analysis and communication skills
• MySQL Workbench, Amundsen, Erwin Data Modeller, Lucid Chart, SQuirrel SQL Client, MS Visio, Enterprise Architect, Finance Domain knowledge
• Use of macro-economic and other drivers to build technical predictive models
• Quick to understand client/user requirement. Ability to provide ideas which may have a bearing on design early in the process
• Highly skilled in flow diagrams. Provide for all possible loops to make coding and numerical process easy
• Very experienced individual who demonstrates advanced level of numerical/statistical proficiency. Solution offers lots of features that provide for business policy rules and will be functional to client, (e.g. appropriately measure and quantify the degree of new business risk being written.)
• Ability to coordinate multiple projects and officially hand over end-product to client, providing the necessary demonstration and is able to answer complex questions relevant to the model
• High level evaluation of model/s. Assesses how different models best serve client requirements. Informed on model building best practice and provides thought leadership on model design

Qualifications/ Certification:

• Minimum: Relevant B.Sc or B.Com degree
• Preferred: Honours degree with focus in Information Management

* In order to comply with the POPI Act, for future career opportunities, we require your permission to maintain your personal details on our database. By completing and returning this form you give PBT your consent

* If you have not received any feedback after 2 weeks, please consider you application as unsuccessful.

We are seeking a highly motivated and experienced
Senior Data Modeler-Developer
to drive the development of our enterprise-level data solutions. This is a critical role for a true self-starter who excels at bridging the gap between business needs and technical architecture.

You will be responsible for the end-to-end delivery of robust data models and reporting capabilities, focusing primarily on a performant, on-premise Microsoft data environment.

Required Technical Skills

• Dimensional Modeling:
  Strong expertise in
  Kimball Methodology
  for data warehouse design.
• Microsoft BI:
  Proven track record working deeply within the
  Microsoft Tech Stack (on-premise)
  .
• SSAS Tabular:
  Significant, hands-on experience with
  SQL Server Analysis Services (SSAS) Tabular
  model development.
• Data Visualization:
  Solid proficiency in
  Power BI
  for creating impactful reports and dashboards.
• Source Systems:
  Comfort and capability in interrogating data from complex source environments, including
  Oracle
  and
  Netezza
  , and exposure to non-database sources.

Technical Skills

The BI Analyst/Developer should understand and have expertise in the various technologies needed to implement Microsoft BI solutions. The developer must have experience with the Microsoft BI stack and exposure to other technologies is a plus ( Python, R).

Data Modeller and Architect

DESCRIPTION:

Join a dynamic, innovative company that values data as a strategic asset, where you'll collaborate with cross-functional teams at the intersection of business, data, and technology to drive data-driven decision-making.

REQUIREMENTS:

5+ years of experience in data modeling, information architecture, or a related field.

Expertise in SQL, NoSQL, and data modeling tools .

Knowledge of cloud-based data architectures.

Knowledge of machine learning pipelines and AI-driven data structuring.

Understanding of data visualization best practices for self-service analytics.

Strong understanding of relational databases, dimensional modeling, and data warehousing.

Experience working with big data platforms (e.g., GCP).

PURPOSE OF THE POSITION

We seek a skilled Data Modeler to bridge the gap between business data requirements and technical implementation.

This role will be responsible for designing, structuring, and optimizing data models that enable efficient storage, retrieval, and use of data across the organization. You will collaborate with business analysts, data engineers, and stakeholders to ensure data is well-organized, accessible, and aligned with business needs.

As a Data Modeler, you will be responsible for implementing conceptual and logical data models that support cloud-native architectures.

KEY RESPONSIBILITIES:

Data Modeling and Design:

Translate business requirements into high-quality data models.

Shape how information flows and connects.

Ensure information is technically integrated and contextually aligned with business decision-making needs.

Develop and maintain enterprise reference models, taxonomies, and data designs.

Define metadata, semantic layers, and information flow standards that enhance data quality, regulatory compliance and business usability across systems.

Data Governance & Standards

Establish data governance standards, ensuring data integrity, normalization, and consistency.

Collaborate with data governance teams to align models with enterprise standards.

Document data models, relationship, and business rules.

Collaboration & Stakeholder Engagement

Engage with business stakeholders to understand data needs and define modelling requirements.

Translate strategic information needs into actionable design artifacts; create and maintain high-quality documentation and diagrams.

Provide expertise on best practices for data modelling.