Data Scientist jobs in South Africa

Location: Johannesburg, Gauteng – The Legends Agency

Contract: 12 months, with potential extension.

About Our Client

Our client is a specialist data and technology consultancy, delivering innovative solutions that empower financial services businesses to make smarter, faster decisions. With a strong focus on advanced analytics, AI integration, and cloud‑first design, the team partners with leading insurers and financial institutions to drive transformation. They offer a collaborative, remote‑first culture where your expertise will directly impact business outcomes.

Key Responsibilities

• Apply 3 years of experience as a Data Engineer to deliver robust, efficient data solutions.
• Develop, maintain, and optimize data pipelines using Azure Databricks.
• Integrate and manage Oracle databases to ensure optimal security and performance.
• Write and optimize SQL, applying strong data modeling principles.
• Collaborate with cross‑functional teams to ensure data quality, accessibility, and scalability.
• Support machine learning and analytical initiatives in the insurance domain.
• Monitor, troubleshoot, and enhance existing data infrastructure.

About You

• 3 to 5 years of hands‑on Data Engineering experience.
• Proven experience working with Oracle database environments.
• Solid SQL and data modeling capabilities.
• Experience in insurance or broader financial services is advantageous.
• Strong problem‑solving mindset, with the ability to work independently in a remote‑first setup.
• Collaborative team player with excellent communication skills.

Location: Johannesburg, Gauteng – Visi Select (Remote – South Africa)

Role: Provide technical and analytical support for Quintessence implementations, ensuring client satisfaction.

Key Responsibilities

• Minimum 2 years of experience in data analysis, modelling, and troubleshooting.
• Configure and implement Quintessence software for client environments.
• Provide 2nd Tier client support, including data enhancements and issue resolution.
• Understand and manage client data requirements within the financial markets.
• Build and maintain end‑to‑end data service solutions and integrations.
• Develop queries combining multiple data sources while ensuring data integrity.
• Recommend improvements to data reliability, efficiency, and quality.
• Provide structured feedback to development teams on functionality and issues.
• Design user interfaces for data uploads and visualisation.

About You

• 2+ years of experience working with data in a technical support or engineering role.
• Degree in Statistics, Mathematics, Engineering, Informatics, or related field.
• Strong SQL and Excel skills, plus experience in a programming language such as Python (essential).
• Exposure to data visualisation tools (Power BI, Tableau, or QlikView) – advantageous.
• Knowledge of APIs, ETL processes, or data warehousing – advantageous.
• Background in financial services or asset management – distinct advantage.
• Client‑focused mindset with excellent communication skills.
• Ability to multitask, manage competing priorities, and meet deadlines.

Location: Johannesburg, Gauteng – Remote (International client).

Compensation: R95 000 – R?  per month (exact figure missing).

Key Responsibilities

• Design & optimize data pipelines and ETL processes.
• Work with AWS services: S3, Glue, Redshift, DBT, Spark, Terraform.
• Support cloud integration and modernization projects.
• Ensure system performance, monitoring & reliability.
• Enforce data security, governance, and compliance standards.
• Collaborate with global, cross‑functional teams.

Qualifications

• 5+ years' experience as a Data Engineer (Intermediate–Senior).
• Hands‑on expertise in AWS data services.
• Strong SQL, data modeling, and pipeline management skills.
• Familiarity with CI/CD, Git, and infrastructure‑as‑code.
• Excellent collaboration and problem‑solving skills.

Location: Bedfordview, Gauteng – On Point HR & Talent Solutions

Job Purpose

The Data Engineer will be responsible for driving, designing, and building scalable ETL systems for a big data warehouse to implement robust & trustworthy data to support high performing ML algorithms, predictive models and support real‑time data visualisation requirements across the organisation to enable self‑help analytics.

Key Responsibilities

• Systematic solution design of the ETL and data pipeline inline with business user specifications.
• Develop and implement ETL pipelines aligned to the approved solution design.
• Ensure data governance and data quality assurance standards are upheld.
• Deal with customers in a customer‑centric manner.
• Effective self‑management and teamwork.

Qualifications

• Completed IT related degree.

Experience Requirement

• 5–10 years' experience and understanding in designing and developing data warehouses according to the Kimball methodology.
• Adept at design and development of ETL processes.
• SQL development experience, preferably SAS data studio and AWS.
• The ability to ingest / output CSV, JSON and other flat file types and any related data sources.
• Proficient in Python or R or willingness to learn.
• Experience within Retail, Financial Services and Logistics environments.
• Must have Key Skills/Technologies: AWS and Redshift.
• Data Source: SAP (ERP system).
• Credit Modelling: SAS (most current models in production).
• Nice to have: Python.

Summary

At Fedgroup, our in‑house system powers everything from secured investments and life insurance to impact farming and beyond. Our versatile platform is central to our success, complemented by an app that empowers users to manage their financial futures with ease. In this role, you’ll engage with diverse stakeholders, including business owners, project managers, developers, and tech partners (IoT, ML, ICT). We stay practical while leveraging battle‑tested, advanced technologies to drive innovation.

What To Expect

Database Engineering / Management

• Work with on‑site MSSQL databases to extract, transform, and load data as needed.
• Assist the Data Lead with performing performance analysis and tuning.

Data Collection and Analysis

• Gather, clean, and analyze large datasets to identify trends, patterns, and insights.
• Utilize statistical methods to interpret data and generate meaningful reports.

Reporting and Visualization

• Develop and maintain interactive dashboards and reports for key stakeholders.
• Communicate complex data findings in a clear and understandable manner.

Data Quality Assurance

• Implement and maintain data quality processes to ensure accuracy and reliability.
• Collaborate with cross‑functional teams to address data discrepancies and issues.

What You’ll Bring

Qualifications and Experience

• Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science) or equivalent experience.
• Proven experience as a Data Engineer or in a related role with 5 years’ experience.
• Proficient in data analysis tools and languages.
• Proficient in Microsoft T‑SQL.
• Experience with data visualization tools.
• Industry‑specific knowledge in finance is not necessary but will be beneficial.
• Experience with open‑source data pipeline ETL tools will be beneficial.
• Analytical mindset with a keen attention to detail.
• Strong communication skills, both verbal and written.
• Adaptability and willingness to learn new technologies and techniques.