18 Cloud Data Engineer jobs in South Africa

We are seeking a skilled and motivated
Specialist: Data Engineering
to join our dynamic Financial Services team.

The ideal candidate will play a key role in implementing the company's Data Strategy by driving data awareness, engagement, and monetization while ensuring operational excellence across platforms.

This role involves building and optimizing data pipelines, managing data architectures on both on-premises and cloud environments, ensuring data quality and compliance, and supporting Payments & Ecommerce teams with reliable data solutions.

The position is ideal for a technically strong data engineer with a solid understanding of data frameworks, who is eager to grow in a fast-paced and innovation-driven environment.

Key Responsibilities

Strategy Development & Implementation

• Implement the Data Strategy to drive customer awareness, engagement, experience, and monetization.
• Provide input into data monetization aspects of the Business Plan and cascade to OpCos.
• Drive product revenue growth, operational excellence, and customer satisfaction.

Operational Delivery – Data Platforms

• Support in developing frameworks and technical architectures for Financial Services innovation.
• Assist the Payments & Ecommerce team in achieving annual goals.
• Implement and manage data architectures across multiple platforms (web, mobile, social).
• Ensure continuous alignment of data platforms with Financial Services strategy and evolving business requirements.
• Oversee delivery of data platform services and ensure integration efficiency and quality.

Data Engineering

• Design, build, and maintain ETL/ELT pipelines from multiple data sources.
• Set up and manage centralized data storage systems and warehouses (e.g., Fabric, PrestoDB, Oracle).
• Utilize cloud technologies such as
  Microsoft Azure
  for scalable deployments.
• Implement workflow management tools (Apache Airflow, Prefect, or Dagster).
• Ensure data accuracy, automation, and observability in data flows.
• Optimize pipelines and analytics for performance, scalability, and reliability.

Governance & Reporting

• Participate in strategic and operational meetings, providing technical guidance.
• Support enterprise-wide transformation initiatives related to data management.
• Ensure adequate risk mitigation and compliance with regional data regulations.
• Prepare regular progress and performance reports for management.

Qualifications and Experience

• Bachelor's degree in
  Computer Science, Big Data, Database Administration
  , or a related field.
• Minimum
  3 years' experience
  in
  Advanced Data Engineering
  .
• Proven experience in
  Big Data On-premises and Cloud Data Pipeline (M. Fabric)
  deployment.
• Proficiency in
  SQL, Python, R, and Power BI
  .
• Experience with
  Oracle, Teradata, or Snowflake
  , and cloud platforms such as
  AWS, Azure, or GCP
  .
• Strong stakeholder management and communication skills.
• Experience in
  Telecommunications or Financial Services
  is an advantage.
• Willingness and flexibility to travel within Africa.

Skills and Competencies

• Data pipeline and API development expertise.
• Knowledge of Machine Learning Operations pipeline deployment.
• Strong analytical and problem-solving abilities.
• Agile and digital-first mindset.
• High attention to detail and commitment to quality.
• Excellent relationship-building and presentation skills.

Behavioural Qualities

Analytical and Detail-Oriented | Business-Focused | Self-Driven | Results-Oriented | Collaborative | Emotionally Intelligent

Job Overview

Business Segment: Insurance & Asset Management

Location: ZA, GP, Roodepoort, 4 Ellis Street

Job Type: Full-time

Job Ref ID: A-0001

Date Posted: 10/6/2025

Job Description

To develop and maintain complete data architecture across several application platforms, provide capability across application platforms. To design, build, operationalise, secure and monitor data pipelines and data stores to applicable architecture, solution designs, standards, policies and governance requirements thus making data accessible for the evaluation and optimisation for downstream use case consumption. To execute data engineering duties according to standards, frameworks, and roadmaps

Qualifications

Type of Qualification: First Degree

Field of Study: Business Commerce

Type of Qualification: First Degree

Field of Study: Information Studies

Type of Qualification: First Degree

Field of Study: Information Technology

Experience Required

Software Engineering

Technology

5-7 years

Experience in building databases, warehouses, reporting and data integration solutions. Experience building and optimising big data data-pipelines, architectures and data sets. Experience in creating and integrating APIs. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

8-10 years

Deep understanding of data pipelining and performance optimisation, data principles, how data fits in an organisation, including customers, products and transactional information. Knowledge of integration patterns, styles, protocols and systems theory

8-10 years

Experience in database programming languages including SQL, PL/SQL, SPARK and or appropriate data tooling. Experience with data pipeline and workflow management tools

Additional Information

Behavioural Competencies:

Adopting Practical Approaches

Articulating Information

Checking Things

Developing Expertise

Documenting Facts

Embracing Change

Examining Information

Interpreting Data

Managing Tasks

Producing Output

Taking Action

Team Working

Technical Competencies:

Big Data Frameworks and Tools

Data Engineering

Data Integrity

Data Quality

IT Knowledge

Stakeholder Management (IT)

Please note: All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any from of payment as part of our recruitment process. If you experience this, please contact our Fraud line on or

Position Overview:

The Technical Lead is responsible for the development and delivery of Cloud technical data solutions that support enterprise data management and data usage requirements. The Lead ensures that all technical data services and solutions are designed and implemented according to best practices and support firm regulatory, business enablement requirements. The Cloud data solutions should enable robust use of Artificial Intelligence and Machine Learning. The Technical Lead coordinates delivery of technical solutions across Data Engineering and Data Infrastructure services and engages with stakeholders to ensure that deliverables meet the business strategy and requirements within the agreed timelines.

Our Africa Tech and Digital team is a dynamic community of self-starters and innovators who embrace change and the constant evolution of technology. We are committed to fostering an environment where curiosity thrives and creativity is celebrated. By leveraging AI-assisted tools and respecting diverse perspectives, we drive collaborative success while enhancing our collective knowledge and skills. We believe in the power of technology to transform and improve our processes, always seeking to challenge the status quo. Together, we work with urgency and empathy, united in our mission to create impactful solutions that benefit our firm and our clients.

Key Responsibilities:

1. Technical Data Strategy:

2. Implement technology that aligns with the business strategy and fulfills business and network requirements for data services.

3. Engagement and collaboration with internal and LoS technical teams to ensure alignment, awareness and adoption of technical data solutions and services in support of business requirements.

4. Forecast technology trends be able to proactively Identify technology pivots and roadmap. Evaluate new approaches, technologies, and services to ensure that Data solutions and services meet changing business demand and enable innovative solutions that can be implemented with agility, urgency and agency.

5. Data Modelling:

6. Implement data solutions that are in line with data modelling best practices.

7. Provide technical data services that meet the ongoing requirements of the business in a cost effective and efficient manner.
8. Implement data solutions and services promote ethical and responsible use of data within the firm.

9. Engage with local and global SMEs and teams to ensure that the technical data solutions and services adhere to standards, assist the firm in meeting regulatory requirements and align to the network roadmap.

10. Technical Standards:

11. Develop technical standards for each pillar of the Software Development Lfe0cycle (SDLC) in collaboration with other SMEs across AfricaTech.

12. Collaborate with, and assist, internal and LoS teams with understanding and implementing technical standards requirements of the firm and advise on best practices.

13. Solutions Design

14. Collaborate in product design sessions to provide input on technical data requirements and approaches that support the data requirements of the desired business product outcomes.

15. Assist with defining technical delivery plans that will meet the requirements for data-driven solutions.

16. Evaluate the delivery of data solutions to ensure that they support strategic deliver, meet business requirements and adhere to technical standards.

17. Operational Management

18. Act as a mentor to technical staff within the team.

19. Assist with the development of technical training curriculums.
20. Provide technical support and input into data communities of interest and practice.

21. Assist with internal and LoS data training programmes.

22. Continuous Improvement:

23. Identify opportunities to enhance data quality processes, tools, and techniques, leveraging innovative approaches to improve overall data governance and quality strategies.

24. Contribute to ongoing assessments of the effectiveness of data quality practices, proposing adjustments based on industry trends and organizational needs.
25. Drive the optimisation and automation of redundant and obsolete processes
26. Master and champion, the use of AI tools in the delivery of Data Governance and Quality processes.

Qualifications and Skills:

Education:

• Any Bachelor Degree in Computer Science or equivalent relevant work experience.
• Certifications in Microsoft Databricks.
• Experience: Minimum of years of experience in cloud data engineering or related roles within a complex organizational environment.

Technical Skills:

• Experience in designing and managing data warehouses.
• Experience in ensuring data security and compliance with regulations, including encryption and privacy laws.
• Data quality analysis skills.
• Strong analytical and problem-solving abilities to interpret complex data and translate business requirements into technical specifications.
• Proficiency in data mining, predictive modelling, and working with large datasets to uncover insights.
• Designing and implementing enterprise data management frameworks.
• Knowledge of data governance and data quality principles.
• Large-scale technical data project implementation experience.
• Ability to formulate and drive a technical data strategy and budget.
• Ability to mentor and develop technical data teams.
• Ability to facilitate broader staff training.
• Ability to explain technical concepts at all levels.
• Stakeholder engagement and strong communication skills at all levels.
• Data modelling and identification and linking of Gloden Sources
• Metadata Management
• Technical skills including:
• Azure cloud data services architecture (Synapse, Purview).
• Understanding of API development (REST, SOAP, APIM).
• DevOps experience (task management, code deployment, pipeline management).
• Terraform experience.
• SQL experience.
• Python experience.
• Power BI experience.
• Alteryx experience.
• Databricks experience (ideal).
• MS Fabric experience (ideal).
• Data modeling experience.
• Phython
• Use of AI and ML within Databricks and Synapse

Soft Skills:

• Excellent communication and interpersonal skills, with the ability to engage effectively with diverse stakeholders.
• Analytical and detail-oriented mindset, with a proactive approach to problem solving and decision making.

At PwC, our purpose is to build trust in society and solve important problems. As we navigate an increasingly complex world, we are dedicated to ensuring that the systems on which communities and economies depend can adapt and thrive. Each role within our organization contributes to this mission, reinforcing our commitment to high ethical standards and the importance of trust.

Our five core values guide our actions and define who we are. They emphasize building trust through professionalism, ethical behavior, and a commitment to quality in all our interactions, whether with clients, colleagues, or the broader community. We respect privacy and confidentiality, and we strive for transparency in our operations, demonstrating care and integrity in our relationships.

As part of our human-led, tech-powered approach, we empower our people through technology and foster an environment were speaking up is encouraged, and diverse perspectives are celebrated. By embodying these principles in our daily work, we can collectively drive impactful outcomes that resonate with our clients and society as a whole. Together, let's embrace our purpose and values to create meaningful change.

The Data Engineering Technical Lead plays a critical role in establishing data governance frameworks that will build trust in our data, open revenues for data monetization and upholding the quality and integrity of the organization's data assets. Your expertise in data governance and management practices and commitment to fostering a culture of accountability will significantly enhance the effectiveness of data governance initiatives within PwC Africa. You need to be passionate about data governance and PwC's purpose needs to resonate with you.

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it's a place where you can grow, belong and thrive.

The Director, Data Engineering is a leadership role accountable for operationally managing a Data Engineering Team.

The Data Engineering Practice lead will lead the design, development of the enterprise data platform and pipelines.

This role is further responsible for overseeing SAP data migrations, ensuring seamless integration and transformation of legacy systems into modern cloud-based architectures.

The person will drive innovation, scalability, and governance in data engineering practices while managing a high-performing team.

Key Responsibilities:

• Manages a team of Managers and Data Engineers to ensure achievement of team objectives/KPIs and through continuous coaching and mentoring helps the team to understand and apply data to solve business solutions.
• Develop the new Data Platform - Execute the data engineering strategy per the selected platform.
• SAP Data Migration - Lead end-to-end SAP data migration projects, including planning, mapping, transformation, and validation.
• Engineering Team Leadership - Build and manage a team of data engineers and technical leads. Foster a culture of innovation, collaboration, and continuous improvement.
• Data Pipeline Development - Oversee development of robust ETL/ELT pipelines using Azure Data Factory, Databricks, Snowflake Streams/Tasks, and SAP tools. Ensure pipelines are optimized for performance, reliability, and cost-efficiency.
• Data Management - partner with data management practice lead and governance lead to ensure adherence to data quality, lineage, and security standards. Implement monitoring and alerting for data pipeline health and SLA compliance.
• Stakeholder Engagement - Collaborate with business units and the internal analytics teams and IT to align data engineering efforts with strategic goals. Translate business requirements into scalable technical solutions.
• Ensure industry standards best practices are applied to development activities and continuously ensures the team remains abreast of latest technology and tools in the area of data engineering.
• Works across multiple areas on data set to ensure solutions are successfully executed, within agreed upon time frames.

Knowledge and Attributes:

• Excellent ability to thrive in a dynamic, fast-paced environment.
• Strong quantitative and qualitative analysis skills.
• Strong desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science.
• Strong curiosity to sift through data to find answers and more insights.
• Excellent understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.
• Excellent ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.
• Excellent ability to create a storyline around the data to make it easy to interpret and understand.
• Self-driven and able to work independently yet acts as a team player.
• Excellent ability to apply data science principles through a business lens.
• Strong desire to create strategies and solutions that challenge and expand the thinking of peers and senior leadership teams.
• Excellent ability to think strategically about how to use data to drive competitive advantages.
• Excellent management and leadership skills.

Academic Qualifications and Certifications:

• Bachelor's degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.
• Relevant programming certification preferred.
• Agile certification preferred.

Required experience:

• Significant demonstrable experience with one or more programming languages, statistical packages and database languages.
• Significant demonstrable experience with data warehouse and data lake technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools.
• Significant demonstrable experience applying statistical methods to solve business problems.
• Significant demonstrated experience with distributed data platform tools such as MS Azure, SAP Snowflake, Spark, MySQL, etc.
• Significant demonstrated experience in working in micro-services architecture working with APIs development.
• Significant demonstrable experience of full-stack software development with prolific coding abilities.
• Significant demonstrated experience with Agile Development Methodologies and Test-Driven Development.
• Solid line manager experience leading and managing a team of Data Engineering Teams

Workplace type:
Hybrid Working

About NTT DATA
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.