Human Resouces jobs in South Africa

Job Description

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.

This contract role is key to designing, building, and maintaining high-quality, secure, and scalable data solutions for a leading insurance client.

You’ll work across modern data platforms and cloud environments, enabling accurate insights and supporting analytics and machine learning initiatives.

The role is initially a 12-month contract, with strong potential to extend based on performance and project needs.

Apply 35 years of experience as a Data Engineer to deliver robust, 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.

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.

Parktown, Gauteng
MJM Recruitment
Posted today

To lead the design, development, and governance of the company's enterprise data infrastructure, transitioning from the current SSIS‑based ETL environment to a modern, scalable, Azure‑based cloud data warehouse.

This role is strategic and collaborative, requiring close engagement with business leaders, BI developers, analysts, and IT teams to ensure data solutions are business‑aligned, governance‑compliant, and ready for advanced analytics.

As a senior member of the team, the role will mentor junior data engineers, influence architectural decisions, and champion best practices across the organisation.

• Data Warehouse Architecture & Leadership : Lead the architectural design and implementation of the new Azure‑based data warehouse.
• Oversee the optimisation of the existing SSIS‑based ETL environment during the transition phase.
• Establish long‑term data platform strategy in collaboration with BI and IT leadership.
• Data Governance & Compliance : Own the data governance framework, ensuring standards for data quality, security, lineage, and access control are embedded in all solutions.
• Partner with compliance and legal teams to meet regulatory requirements for data storage and processing.
• Champion the use of data cataloguing and metadata management tools.
• Collaboration & Stakeholder Engagement : Work directly with senior stakeholders across business units to translate needs into actionable technical solutions.
• Serve as the primary point of contact between the BI team, engineering, and external vendors for data infrastructure matters.
• Facilitate workshops, architectural reviews, and cross‑team solution design sessions.
• Technical Delivery & Mentorship : Lead the build, testing, and deployment of robust ETL / ELT pipelines for multi‑source integration.
• Ensure smooth migration of historical and real‑time data to the new warehouse with minimal downtime.
• Mentor and support junior and mid‑level engineers in technical best practices and solution delivery.
• Performance Monitoring & Continuous Improvement : Implement platform monitoring solutions to track and optimise performance.
• Drive continuous improvement in architecture, tooling, and governance processes.

• Mandatory : Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field.
• Preferred : Master’s degree in Data Engineering, Computer Science, or related discipline.
• Business Management or Project Management certification to support stakeholder engagement and project oversight.
• Azure Data Engineer Associate or equivalent cloud certification.
• Data governance certification (DAMA, DCAM, or equivalent).
• 5+ years in data engineering, with experience in data warehouse design and development.
• Strong hands‑on experience with SSIS for ETL processes.
• Prowess in Azure Data Platform components (Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, Data Lake Storage).
• Strong SQL skills (T‑SQL preferred).
• Experience implementing data governance principles, including data quality frameworks, security / access controls, and metadata management.
• Experience with data modeling (Kimball / Star Schema / Snowflake).
• Proficient in performance tuning and troubleshooting data processes.

Johannesburg, Gauteng
The Legends Agency
Posted 17 days ago

Remote (South Africa) | R18,000 - R25,000 per month depending on experience | 8am-5pm SAST

Our client is an international software development company, creator of Quintessence, a specialist data toolkit widely used by asset management firms in South Africa and now expanding into the UK.

Their mission is to transform investment research processes through smarter data integration and modelling.

The team is young, dynamic, and passionate about tackling complex data challenges while delivering customised solutions tailored to client needs.

As a Client Support Data Engineer, you will provide technical and analytical support to ensure client implementations of Quintessence run smoothly and meet SLA requirements.

You will work closely with both internal teams and clients, troubleshooting issues, managing data requirements, and building solutions that enhance reliability, efficiency, and usability.

This is a client‑facing technical role with significant opportunity to grow your expertise in financial data integration and analytics.

Johannesburg, Gauteng
Visi Select
Posted today

Location : Remote (supporting an international client)
Contract Duration : 6 Months (Immediate Start)
Compensation : R95,000 – R100,000 per month

We’re looking for an experienced AWS Data Engineer (Intermediate to Senior) to join our client's global team.

What you’ll do :

• Design & optimise data pipelines and ETL processes.
• Work with AWS services : S3, Glue, Redshift, DBT, Spark, Terraform.
• Support cloud integration and modernisation projects.
• Ensure system performance, monitoring & reliability.
• Enforce data security, governance, and compliance standards.

Collaborate with global, cross‑functional teams.

What we’re looking for : 5+ years’ experience as a Data Engineer (Intermediate–Senior).

Hands‑on expertise in AWS data services.

Strong SQL, data modelling, and pipeline management skills.

Familiarity with CI / CD, Git, and infrastructure‑as‑code.

Excellent collaboration and problem‑solving skills.

• Competitive contract compensation (R95k – R100k / month).
• Work with cutting‑edge AWS technologies.
• Collaborate with international teams on high‑impact projects.

A 1L Realization (Pty) Ltd
Johannesburg, Gauteng
Posted 17 days ago

Bachelor of Science, Computer Science, Big Data, Database Administration or related fields.

Evidence of strong skills in Data pipeline building.

• Proven experience (3+ years) in Advanced Data Engineering
• Big Data On‑premises and Cloud Data Pipeline (M. Fabric) deployment

• Strong technical skills in data manipulation, analysis, and visualization tools such as SQL, Python, R or Power BI.
• Knowledge of database systems (e.g., Oracle, Teradata, or Snowflake) and cloud data platforms (e.g., AWS, Azure, or GCP).
• Excellent communication and stakeholder management skills, with the ability to translate technical concepts into actionable insights for non‑technical audiences.
• Experience in the telecommunications / Financial Services or Fintech Companies or related fields is a plus.
• Advanced analytical skills with the ability to translate data into actionable insights and strategic recommendations.
• Demonstrated ability to collaborate effectively with cross‑functional teams and external partners to achieve business objectives.
• Excellent written and verbal communication skills.
• Understanding emerging markets
• Experience at the management level in the financial sector
• Willing and flexible to travel within Africa

Bedfordview, Gauteng
R - R Y On Point HR & Talent Solutions
Posted today

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.

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 Team work

Completed IT Related Degree

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 :

Primary Technologies (outside SAP) :

AWS and Redshift

Data Source : SAP (ERP system)

Credit Modeling : SAS (most current models in production)

Python

The Data Engineer will oversee the department's data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis.

You will also collaborate with other technical teams and business stakeholders to ensure our data management practices align with business goals and industry standards.

This position involves working effectively with the business units with the primary mandate of enabling them with insights and decision support capabilities to drive good quality business decisions.

As a Data Engineer, you will also be responsible for researching and implementing new technologies and methodologies to improve our data infrastructure and processes.

You will also be expected to mentor and coach junior team members and contribute to the development of our data engineering strategy and roadmap.

Operational Delivery :

Gathers business requirements, executes projects and derives business insights.

Collects data and builds fit for purpose dashboards and reports based on requirements.

Troubleshooting of data issues and providing fit for purpose solutions with data engineering best practices

Complete projects / tasks assigned or working with other staff (internal / external) and following up on assigned projects / tasks.

Partnering with business stakeholders to unpack data management requirements and design for future requirements based on future needs.

Collaborate with stakeholders across the organization to ensure data quality, accuracy, and security

Lead and manage a team of data engineers responsible for designing, building, and maintaining robust data infrastructure and systems

Design and implement robust Extract Transform Load (ETL) frameworks and processes.

Design and implement robust data integration strategies and processes.

Develop and implement data management (architecture and 1 / 3 o integration) policies, procedures, and best practices Manage data engineering projects and ensure timely delivery of high‑quality results.

Develop and implement databases, data collection systems and enable data analytics.

Acquire and integrate data from different sources and enable integrated reporting.

Recruit, train, and mentor data engineering team members to promote growth and professional development.

A Degree, or Higher National Diploma, or equivalent certification in an analytical field, e.g. Informatics, Data Science, Commerce Certification advantageous (SQL, Data Engineering, Architecture, Ab Initio etc.)

EDUCATION and / or EXPERIENCE :

4-7 years of experience in data engineering or a related field

Ability to perform complex data analysis and data deep dives

Experience in building large data repositories

Excellent visualization skills and data storytelling capability

Ab Initio experience of the ETL (GDE), Express

IT, Metadatahub Knowledge of cloud computing platforms (GCP, AZURE, AWS)

Strong knowledge of data management concepts and technologies, including data modelling, ETL, data warehousing, and data visualization

Knowledge of business processes, IT processes, data, and associated applications

Experience analyzing and breaking down problems and information using structured frameworks and methodologies.

Robust skills in documentation creation with a high attention to detail including planning and organization.

Ability to think analytically and conduct customer‑facing communications.

All appointments will be made in line with Access Bank’s Employment Equity plan.

The Bank supports the recruitment and advancement of individuals living with disabilities.

In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis.

The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

Employees who apply and do not hear from HR within 30 days of the closing date may assume that their application was not successful, and we thank you for applying.

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