354 Data Engineering jobs in South Africa

Business Segment: Insurance & Asset Management

Location: ZA, GP, Roodepoort, Ellis Street 4

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.

Minimum Qualifications

1. Type of Qualification: First Degree
2. Field of Study: Business Commerce
3. Type of Qualification: First Degree
4. Field of Study: Information Studies
5. Type of Qualification: First Degree
6. Field of Study: Information Technology

Experience Required

1. Software Engineering
   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.
2. 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.
3. 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.

Please note: All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any form of payment as part of our recruitment process. If you experience this, please contact our Fraud line on +27 800222050 or

Deloitte is a leading global provider of audit and assurance, consulting, financial advisory, risk advisory, tax and related services. Our global network of member firms and related entities in more than 150 countries and territories (collectively, the “Deloitte organisation”) serves four out of five Fortune Global 500 companies. Learn how Deloitte’s approximately 457,000 people make an impact that matters at .

Innovation, transformation and leadership occur in many ways. At Deloitte, our ability to help solve clients’ most complex issues is distinct. We deliver strategy and implementation, from a business and technology view, to help lead in the markets where our clients compete.

Are you a game changer? Do you believe in adding advantage at every level in everything you do? You may be one of us.

Deloitte Consulting is growing, with a focus on developing our already powerful teams across our portfolio of offerings. We are looking for smart, accountable, innovative professionals with technical expertise and deep industry experience insights. The combination of our 6 areas of expertise, our well-developed industry structure and our integrated signature solutions is a unique offering never seen before on the African continent.

Be at the forefront of the revolution.

AI-enabled technologies are shaking business foundations. Some find this daunting. We see opportunity—for clients, societies, and people.

Deloitte’s AI & Data Specialists partner with clients to leverage AI and reach new levels of organisational excellence. We turn data into insights, into action—at an industrial scale.

Join us as we enable clients to grasp the future and reach new heights. Learn from the best in the field to create solutions blending data science, data engineering, and process engineering with our industry-leading expertise.

Ready to shape the future?

Join us to reimagine what's possible with data. At Deloitte, your engineering leadership will drive outcomes that matter — not just pipelines, but real-world transformation.

At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day.We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. Weseek to create and leverage our diverse workforce to build an inclusive environment across the African continent.

Join us. Shape the future. Win big

As a Data Engineering Manager , you will lead the design, build, and scale of enterprise-grade data infrastructure and pipelines to power advanced analytics, AI solutions, and AI transformations across Tier-1 clients on the African continent. You will work at the intersection of business strategy and technical delivery , guiding multidisciplinary teams to enable data-driven decision-making and measurable business impact.

You will be responsible for:

• Architecting scalable, secure, and high-performance data platforms
• Leading the design and development of robust ingestion, transformation, and governance pipelines
• Managing project timelines and deliverables across diverse industry engagements
• Coaching data engineers and analysts to deliver client-ready solutions
• Collaborating with AI/ML specialists, solution managers, and client stakeholders to translate strategic needs into modern data capabilities

Key Responsibilities

• Lead and own data engineering workstreams across AI transformation, analytics modernisation, and digital core rebuilds
• Design and implement data pipelines using modern architectures (e.g., Delta Lake, Data Mesh, Data Lakehouse)
• Drive data modelling, data quality, and metadata management best practices aligned to business KPIs
• Build, manage, and scale cloud-native data infrastructure (e.g., on AWS, GCP, Azure)
• Mentor junior engineers, oversee code reviews, and ensure delivery quality to tier-1 consulting standards
• Translate business and industry requirements into scalable data engineering solutions
• Partner with AI, strategy, and business consulting teams to deliver end-to-end data value realisation

• Bachelor’s Degree in Data Science, Engineering or related Degree
• Post Grad Degree in Data Science Engineering or related Degree,
• Data related Cloud Certifications

• 8–12+ years of experience in data engineering, with at least 2 years in a team leadership or technical management role
• Proficient in building modern ETL/ELT pipelines using tools like Apache Spark, DBT, Kafka, Airflow
• Strong programming skills in Python and SQL (Scala/Java a plus)
• Deep experience with cloud data ecosystems (e.g., AWS Redshift/Glue, GCP BigQuery/Dataflow, Azure Synapse)
• Strong understanding of data warehousing, data lakes, streaming, and batch architecture
• Experience with CI/CD for data , testing frameworks, and infrastructure-as-code (Terraform, etc.)
• Familiarity with data governance and security frameworks in regulated industries (e.g., FSI, healthcare)
• Previous experience in a top-tier consulting environment or client-facing data role
• Exposure to AI/ML deployment pipelines , MLOps, or analytics productisation
• Experience in delivering data modernisation programs at enterprise scale
• Cross-industry knowledge with a focus on FSI, Telco, Consumer, or Healthcare

At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day.We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. Weseek to create and leverage our diverse workforce to build an inclusive environment across the African continent.

Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements.

Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information.

To help you look out for potential recruitment scams, here are some Red Flags:

• Upfront Payment Requests :Deloitte will never ask for any upfront payment for background checks, job training, or supplies.
• Requests for Personal Information :Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent’s data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process.
• Unprofessional Communication :Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand.

If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email.

Designation: Graduate Programme: Data Engineering

Category: Human Capital & Transformation - OF5300

Posted by: Alexander Forbes

Posted on: 29 Jul 2025

Closing date: 12 Aug 2025

Location: Sandton

Overview

Purpose of the Job:

Graduate Programme Area: Information Management

Sub Area of Graduate Programme: Data (Data Engineering/ Data Solutions)

The Graduate Candidate We Are Looking For Will Be

• a highly motivated and analytical individual with a strong academic background having a passion for data. He or she will need to be interested in pursuing a career in the data space: data engineering or data science.
• He or she must be willing to learn and comfortable being challenged with complex problems.
• Must be a team player
• He or she must have a keen interest in developing their skills in the following areas: data analysis, SQL development, ETL processes, general programming practices, and API development. Exposure to database systems and software engineering methodologies will be beneficial
  
  

• A national Diploma or Degree(s) majoring in Science or Engineering preferably in Data Science, Computer Science, Statistics, or Electrical/Computer/Information/Mechanical/Industrial engineering.
• Basic understanding and exposure to software engineering methodologies, programming principles, database management systems and SQL.
  
  

• Participate in the development of data solutions for the business including the development of database objects, data models, SQL code, and APIs.
• Take part in general maintenance tasks for the various data solutions developed.
• Partake in project sessions and deliver on deadlines
• Analyse datasets to enable the development of various data solutions as well as to extract actionable insights for business problems
• Present data analysis and data solutions developed to technical and non-technical stakeholders
• General support to the business relating to the data solutions.
• Contribute to documentation and knowledge sharing within the team
  
  

• Programming Proficiency: Strong understanding of software engineering methodologies and coding best practices. The graduate will build solid skills in data analysis and query writing as well as gain exposure to ETL (Extract Transform and Load) processes. They will gain knowledge in several languages / tools in the data space: SQL, SSIS, Denodo, C# and API development.
• Data Literacy & Analytics: Ability to collect, clean, preprocess, and analyse data is crucial.
• Familiarity with Data Tools: Experience with data management, databases, ETL tools, data virtualisation, machine learning, cloud platforms and big data tools would be beneficial. The graduate will gain exposure to these tools.
  
  

• Problem-Solving & Critical Thinking: Ability to analyse complex problems and to propose several different approaches to addressing the problem at hand.
• Collaboration & Communication: Capable of working in diverse teams, communicating technical concepts to non-technical audiences, and contributing to cross-functional projects
• Adaptability & Continuous Learning: Willingness to learn new tools, adapt to new challenges, and stay updated with the latest advancements within the data space.
• Ethics & Governance Awareness: Awareness of data privacy and ethical use of data.
• Strong communication and presentation skills
• Accountability and ownership: Takes ownership of their work and responsibility in the work environment, proactively addressing issues encountered with their manager.
• Team work

• BSc in Computer Science, IT, Engineering, or equivalent
• Preferred certifications:
  
  • DP-203 (Azure Data Engineer Associate)
  • DP-600 (Fabric Analytics Engineer Associate)
  • DP-700 (Fabric Data Engineer Associate)

• 5+ years' experience in Azure Data Services : Synapse, Data Factory, Databricks, SQL, etc.
• Proven hands-on experience with Microsoft Fabric : Pipelines, Lakehouse, Warehouse, and Semantic Models
• Strong T-SQL , PySpark , and Spark SQL skills
• Deep understanding of ETL/ELT , data governance , and security best practices
• Familiarity with CI/CD tools (Azure DevOps, GitHub, and Power BI Deployment Pipelines)
• Strong track record in designing Star Schema-based data models
• Experience using Power BI Premium/Embedded
• Experience leading and scaling data teams

• Lead the design and implementation of scalable Microsoft Fabric data pipelines
• Architect the data warehouse and ensure high-quality, secure data flows
• Manage data ingestion, transformation, and integration processes
• Develop and optimize semantic models and Power BI dashboards
• Partner with stakeholders to translate analytics needs into technical solutions
• Mentor and grow a data team, starting with an existing Analyst
• Maintain documentation, testing, and alignment with business requirements
• Own infrastructure performance, governance, and data reliability

• Experience with AI/ML models or predictive analytics
• Background in financial services , regulatory reporting , or sales optimisation

• A strategic leadership role with ownership of end-to-end data initiatives
• Work with cutting-edge Azure & Fabric technologies
• Be part of a collaborative, innovative team with executive support
• Competitive salary, hybrid work , and growth opportunities

Join this listed FSP as a Senior Manager: Data Engineering. You will be responsible for leading this company’s enterprise data strategy and data platform. Lead the data engineering function responsible for unlocking value from the company’s data assets. Set data strategy, research, and implementation of new data tools and processes to drive ROI. Be a data thought leader for the company.

Responsibilities: Data and Analytics Strategy:

• Create and execute a long-term strategy for leveraging data and analytics as a key business enabler and competitive differentiator across the business. Research tools to plan, implement, and build all business and technical aspects of different data and analytics systems and platforms.

• Take responsibility for developing and delivering a key element of the organisation’s data management system.

• Translate data and analytics strategy and vision into data architecture, defining and implementing models, rules, and standards for design and governance.

• Lead a collaborative digital product/service design process by gathering input across all product/service portfolios to define a design system that is viable and scalable, and which strengthens the brand. Lead a cross-portfolio, multidisciplinary team that contributes to the evolution of the system.

• Lead the review of existing operations and the implementation of innovation processes across the division or function to ensure the required continuous improvement outcomes are delivered.

• Communicate the function’s strategy and its relationship to the organisation’s mission, vision, and values; clarify the actions needed to implement it within the area of responsibility; motivate people to commit to these and to doing extraordinary things to achieve the organisation’s business goals.

• Manage and report on the performance of the function/business area; set appropriate performance objectives for direct reports and hold them accountable for achieving these; take appropriate corrective action where necessary to ensure the achievement of annual business objectives.

• Manage a portfolio of major projects in line with overall project management strategy.

• Identify and manage stakeholders up to top management level, finding out their needs/issues/concerns and reacting to these by leading and coordinating the development of stakeholder engagement plans to support the communication of business information and decisions.

• Makes sense of complex, high quantity, and sometimes contradictory information to effectively solve problems. Ensures the organization has reliable ways to gather needed information.

• Anticipates and adopts innovations in business-building digital and technology applications. Stays apprised of technology trends and of how they can make a substantial difference.

• Creates new and better ways for the organization to be successful. Fosters a climate that supports and rewards creativity and innovation; removes obstacles to creativity.

• Holds self and others accountable to meet commitments. Emphasizes accountability, measures organizational performance against goals, and addresses poor team performance.

• Consistently achieves results, even under tough circumstances. Eliminates barriers to organizational performance.

• Develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences.

• Builds strong-identity teams that apply their diverse skills and perspectives to achieve common goals.

• Builds partnerships and works collaboratively with others to meet shared objectives.

• Makes good and timely decisions that keep the organization moving forward.

• Adapts approach and demeanor in real time to match the shifting demands of different situations.

• Rebounds from setbacks and adversity when facing difficult situations.

• Operates as a recognized expert to manage projects and monitor applications using enterprise systems and tools.

• Acts as the organisation’s authority and established expert on understanding and using tools in the domain of data engineering.
• Python, Pyspark, Spark, Databricks, SQL, SAS

• Applies expertise to act as the organisational authority on implementing, configuring, and optimizing IT systems and services.

• Acts as the organisational authority and established expert on acquiring, organizing, protecting, and processing data to fulfill business objectives.

• Uses comprehensive knowledge and skills to work independently while providing guidance and training to others on developing, monitoring, interpreting, and understanding policies and procedures.

• Works at an advanced level to extract patterns from large amounts of data.

• Grade 12/SAQA Accredited Equivalent (Essential)
• 3-year degree in Information Technology/Sciences/Informatics/Applied Mathematics/Statistics/Data Mining (Essential)
• Master’s Degree in Information Technology/Sciences/Informatics/Applied Mathematics/Statistics/Data Mining (Advantageous)

• 5 or more years’ experience of leading teams (Essential)

Join this listed FSP as a Senior Manager: Data Engineering. You will be responsible for leading this company’s enterprise data strategy and data platform. Lead the data engineering function responsible for unlocking value from the company’s data assets. Set data strategy, research, and implementation of new data tools and processes to drive ROI. Be a data thought leader for the company.

Responsibilities: Data and Analytics Strategy:

• Create and execute a long-term strategy for leveraging data and analytics as a key business enabler and competitive differentiator across the business. Research tools to plan, implement, and build all business and technical aspects of different data and analytics systems and platforms.

• Take responsibility for developing and delivering a key element of the organisation’s data management system.

• Translate data and analytics strategy and vision into data architecture, defining and implementing models, rules, and standards for design and governance.

• Lead a collaborative digital product/service design process by gathering input across all product/service portfolios to define a design system that is viable and scalable, and which strengthens the brand. Lead a cross-portfolio, multidisciplinary team that contributes to the evolution of the system.

• Lead the review of existing operations and the implementation of innovation processes across the division or function to ensure the required continuous improvement outcomes are delivered.

• Communicate the function’s strategy and its relationship to the organisation’s mission, vision, and values; clarify the actions needed to implement it within the area of responsibility; motivate people to commit to these and to doing extraordinary things to achieve the organisation’s business goals.

• Manage and report on the performance of the function/business area; set appropriate performance objectives for direct reports and hold them accountable for achieving these; take appropriate corrective action where necessary to ensure the achievement of annual business objectives.

• Manage a portfolio of major projects in line with overall project management strategy.

• Identify and manage stakeholders up to top management level, finding out their needs/issues/concerns and reacting to these by leading and coordinating the development of stakeholder engagement plans to support the communication of business information and decisions.

• Makes sense of complex, high quantity, and sometimes contradictory information to effectively solve problems. Ensures the organization has reliable ways to gather needed information.

• Anticipates and adopts innovations in business-building digital and technology applications. Stays apprised of technology trends and of how they can make a substantial difference.

• Creates new and better ways for the organization to be successful. Fosters a climate that supports and rewards creativity and innovation; removes obstacles to creativity.

• Holds self and others accountable to meet commitments. Emphasizes accountability, measures organizational performance against goals, and addresses poor team performance.

• Consistently achieves results, even under tough circumstances. Eliminates barriers to organizational performance.

• Develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences.

• Builds strong-identity teams that apply their diverse skills and perspectives to achieve common goals.

• Builds partnerships and works collaboratively with others to meet shared objectives.

• Makes good and timely decisions that keep the organization moving forward.

• Adapts approach and demeanor in real time to match the shifting demands of different situations.

• Rebounds from setbacks and adversity when facing difficult situations.

• Operates as a recognized expert to manage projects and monitor applications using enterprise systems and tools.

• Acts as the organisation’s authority and established expert on understanding and using tools in the domain of data engineering.
• Python, Pyspark, Spark, Databricks, SQL, SAS

• Applies expertise to act as the organisational authority on implementing, configuring, and optimizing IT systems and services.

• Acts as the organisational authority and established expert on acquiring, organizing, protecting, and processing data to fulfill business objectives.

• Uses comprehensive knowledge and skills to work independently while providing guidance and training to others on developing, monitoring, interpreting, and understanding policies and procedures.

• Works at an advanced level to extract patterns from large amounts of data.

• Grade 12/SAQA Accredited Equivalent (Essential)
• 3-year degree in Information Technology/Sciences/Informatics/Applied Mathematics/Statistics/Data Mining (Essential)
• Master’s Degree in Information Technology/Sciences/Informatics/Applied Mathematics/Statistics/Data Mining (Advantageous)

• 5 or more years’ experience of leading teams (Essential)

Hiring : Sub Product Owner – Data Engineering (Expert)

Join a global automotive leader driving digital transformation. We're looking for a seasoned Sub Product Owner with deep Data Engineering expertise to lead agile delivery, stakeholder alignment, and product evolution.

Core Requirements :

• Proxy / Sub Product Ownership experience
• Strong stakeholder management (upward / downward)
• Jira, Confluence, ITSM proficiency
• Agile & Waterfall methodology expertise
• PMO, ITPM, and software project proposal experience
• Solid Data Engineering & AWS Cloud understanding
• Translate business needs into actionable backlog items
• Risk management & cross-tech integration knowledge

Qualifications :

Responsibilities

What We Offer :

Ready to lead the future of data-driven innovation? Apply now and send your CV to with subject "Sub Product Owner – Data Engineering" .

• Proxy/Sub Product Ownership experience
• Strong stakeholder management (upward/downward)
• Jira, Confluence, ITSM proficiency
• Agile & Waterfall methodology expertise
• PMO, ITPM, and software project proposal experience
• Solid Data Engineering & AWS Cloud understanding
• Translate business needs into actionable backlog items
• Risk management & cross-tech integration knowledge

• IT/Business/Engineering degree
• AWS Cloud Practitioner (required)
• Scrum Product Owner/Scrum Master (advantageous)
• 8+ years in Business Analysis (6+ on custom solutions)

• Drive product vision, roadmap, and backlog
• Lead feature teams and ensure delivery quality
• Align stakeholders and manage resources
• Facilitate Agile ceremonies and resolve impediments
• Support production issues within SLA

• Flexible remote/on-site work
• Global team collaboration
• Cutting-edge tech landscape
• Group vehicle promotions
• Agile Working Model

Launch Your Career in Data with PBT Group’s 2026 Graduate Program!

Are you a recent graduate eager to make your mark in the world of IT and data? PBT Group, a leader in Data and Analytics, is on the hunt for ambitious graduates with a BSc, Advanced Diploma, or BTech in Computer Science or Data Science to join our exclusive graduate program. This is your chance to gain hands-on experience, learn from industry experts, and kickstart your career with a company that’s shaping the future of data!

Why Join PBT Group?

At PBT Group, we don’t just offer jobs; we offer careers. As a technology-agnostic organization, we focus on innovation and flexibility, ensuring that our graduates learn the latest skills across a range of platforms. Our graduate program will immerse you in the world of Business Intelligence (BI) , combining intensive training, real-world case studies, and on-the-job mentoring to transform you into a data specialist.

What You’ll Get:

• Cutting-Edge Training: Learn BI best practices with real-life applications.
• Expert Mentorship: Gain insights and guidance from seasoned professionals.
• Hands-On Experience: Work on real projects with real impact.
• Career Development: Prepare for deployment into business with a strong foundation in data and analytics.

Who We Are:

PBT Group is a powerhouse in Data and Analytics, providing customised solutions that help organisations make data-driven decisions. We work across industries—from banking and insurance to healthcare and retail —and operate in over 27 countries globally. Our team of over 800 professionals brings global expertise and local insights to every project, ensuring that our clients achieve their strategic goals through data.

What We’re Looking For:

We’re seeking graduates who are not just technically proficient but also innovative thinkers with a passion for data. Here’s what you need to apply:

• A Bachelor’s degree or final year of study in Information Systems or Computer Science .
• A strong academic record with an average of 65% and above .
• Solid understanding of the Systems Development Life Cycle .
• Excellent mathematical, statistical, and analytical skills .
• Strong programming abilities and knowledge of database functionality.
• Exceptional communication skills and leadership potential.
• Applicants must be under the age of 28 .

Program Duration:

Our 12-month program is structured to provide a balance between theoretical knowledge and practical experience:

• First 6 months: Intensive theoretical training.
• Next 6 months: On-the-job training, applying what you’ve learned in real-world scenarios.

Ready to Start Your Journey?