71 Data Integration jobs in South Africa

Job category: Others: IT and Telecommunication

Location: Bedfordview

Contract: Permanent

Remuneration: Market Related

EE position: No

Applications are invited for the position of Manager: Data Integration & Operations (Peromnes Grade 7) based at Head Office, Bruma. The successful applicant will be reporting to the Head of Data Management. The purpose of this role is to ensure effective data management, formulate quality data collection techniques, implement efficient and secure procedures for data handling and analysis, and establish data sharing rules and proper governance.

1. Evaluate and recommend data management tools and technologies.
2. Implement and manage master data management solutions for core data entities.
3. Ensure consistent and accurate master data across the organization.
4. Lead data profiling, cleansing, and validation initiatives.
5. Monitor and report on data quality metrics and drive continuous improvement.
6. Define and implement effective data pipeline jobs to Extract, Transform and Load (ETL) data.
7. Collaborate with expert teams to design and maintain data architectures that support business needs.
8. Conduct regular data security audits and risk assessments.
9. Ensure compliance with data privacy regulations (e.g., POPIA, HIPAA).
10. Develop and manage strategic relationships with key IT product and service providers.
11. Manage staff in accordance with HC policies and ensure effective performance management.

• B.Eng. or BSc in Computer Science or related field such as Electronics/Electrical/Computer Engineering/Data Management/Information Systems.
• Postgraduate degree in Computer Science or related field will be an advantage .

• Minimum 5 years’ experience in information technology, data management, and engineering within an operations environment, preferably air traffic services/air traffic management, with at least 3 years at management level.
• Proven experience in data management and familiarity with database technologies.

Interested applicants are requested to register their CV’s and apply on by no later than 28 February 2025.

ATNS is an equal opportunity employer that strives to achieve a diverse workforce broadly representative of our people. This position will be filled in line with the objectives of ATNS’ Employment Equity Plan.

People with disabilities are encouraged to apply.

Data Integration Specialist - NRC Head Office - IT (JHB North)

We are seeking a skilled Data Integration Specialist to join our Head Office IT team in Johannesburg. This role offers an exciting opportunity to work within the healthcare sector, focusing on data management and system integration.

• Location: Gauteng, Johannesburg
• Application Deadline: June 28

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field
• SQL or data management certifications are advantageous
• Certifications in AI, data science, or predictive analytics (e.g., Microsoft Certified: Azure AI Engineer Associate, IBM Data Science Professional Certificate) are beneficial

• At least 5 years' experience in SQL-based data integration, data warehousing, or business intelligence
• Proven ability to build reliable data pipelines and integrate systems at the data level
• Experience handling sensitive or regulated healthcare data is preferred

• Advanced proficiency in Microsoft SQL Server and complex SQL queries
• Understanding of data warehousing and scalable data integration solutions
• Familiarity with cloud storage, ETL processes, and performance tuning for large datasets

• Analytical and problem-solving skills
• Strong communication and collaboration abilities
• Commitment to data quality and documentation
• Ability to work independently in a fast-paced environment

• Clear communication when assisting users
• Professional and friendly customer service
• Ability to work independently and as part of a team
• Demonstrate NRC values and caring attitude

This is a full-time position within the healthcare industry, requiring a mid-senior level IT professional. We encourage interested candidates to apply and join our dedicated team committed to healthcare excellence.

This job posting is active and open for applications until June 28.

Business Segment: Personal & Private Banking

Location: ZA, GP, Johannesburg, Baker Street 30

To design, code, verify, test, document, amend, and secure data pipelines and data stores according to agreed architecture, solution designs, standards, policies, and governance requirements. To monitor and report on own progress and proactively identify issues related to data engineering activities. To collaborate in reviews of work with others where appropriate.

• Completed Matric

• 5-7 years' experience understanding of data pipelining and performance optimization, data principles, how data fits in an organization, including customers, products and transactional information. Knowledge of integration patterns, styles, protocols and systems theory.
• 5-7 years' experience in building databases, warehouses, reporting and data integration solutions. Building and optimizing 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.
• 5-7 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

Business Segment: Personal & Private Banking

Location: ZA, GP, Johannesburg, Baker Street 30

To design, code, verify, test, document, amend, and secure data pipelines and data stores according to agreed architecture, solution designs, standards, policies, and governance requirements. To monitor and report on own progress and proactively identify issues related to data engineering activities. To collaborate in reviews of work with others where appropriate.

• Completed Matric

• 5-7 years' experience understanding of data pipelining and performance optimization, data principles, how data fits in an organization, including customers, products and transactional information. Knowledge of integration patterns, styles, protocols and systems theory.
• 5-7 years' experience in building databases, warehouses, reporting and data integration solutions. Building and optimizing 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.
• 5-7 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 countries and territories (collectively, the "Deloitte organization") serves four out of five Fortune Global companies.

Learn how Deloitte's approximately , people make an impact that matters. 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 perspective, 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 organizational 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.

We seek to create and leverage our diverse workforce to build an inclusive environment across the African continent. Join us.

Shape the future.

Job Description: 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 modernization, 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 realization

Qualifications:

• Bachelor's Degree in Data Science, Engineering, or related field
• Postgraduate Degree in Data Science, Engineering, or related field
• 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 productization
• Experience in delivering data modernization programs at enterprise scale
• Cross-industry knowledge with a focus on FSI, Telco, Consumer, or Healthcare

We aim to create a workplace where everyone can thrive, respecting diversity and inclusion across the African continent. Note: The list of tasks and responsibilities is not exhaustive. Deloitte may ask employees to perform additional duties as needed.

Warning: Beware of recruitment scams. Deloitte will never ask for upfront payments or sensitive personal information early in the recruitment process. Be cautious of unprofessional communication and verify contact details through official channels.

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.

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

Direct message the job poster from AECI Limited

Purpose of the job

• The Group Lead Data Engineer is responsible for architecting, building, and maintaining scalable data pipelines, platforms, and infrastructure that support AECI's enterprise data and analytics strategy.
• This role ensures high-quality data ingestion, transformation, and delivery across various business domains while enforcing engineering best practices.
• The role is pivotal to the successful delivery of AI, analytics, and data democratization initiatives across global operations and requires close collaboration with data scientists, analysts, and technology teams.
  
  

• Design and implement robust and scalable data pipelines using Azure-native tools (ADF, Databricks, Synapse).
• Ensure automated and resilient workflows that process structured and unstructured data.
• Translate data needs into modern architectural blueprints.
• Enforce data modelling, engineering, and documentation standards.
• Contribute to AECI's enterprise data architecture in collaboration with enterprise architects.
• Integrate data from diverse sources (SAP, IoT, third-party APIs).
• Enable real-time and batch data streaming using Azure Event Hubs, Kafka, and Databricks.
• Implement CI/CD pipelines for data code. Use infrastructure-as-code for reproducible environments.
• Monitor pipeline health, data freshness, and failures.
• Enforce data security policies, access controls, encryption, and audit trails. Work with Data Governance teams to ensure adherence to policies and regulatory requirements.
• Lead the design and implementation of D&A portfolio frameworks and methodologies across local and global operations,
• Establish and enforce architecture standards, guidelines, and best practices across the development of enterprise D&A.
• Manage and track the number of architecture deviations identified in the D&A lifecycle and to identify and address any deviations, ensuring consistency and maintainability
• Measure the level of documentation completeness and comprehensiveness of the D&A portfolio documentation, ensuring that all stakeholders have access to the necessary information
• Lead the development and foster a culture of innovation and continuous improvement within the team.
• Promote a culture that supports high performance through performance management and employee engagement
• Mentoring, coaching and developing of the Data Engineering team
• Lead and develop the team, ensuring effective communication, training, and development opportunities
• Create a dynamic environment that promotes and rewards high performance

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Chemical Manufacturing

Referrals increase your chances of interviewing at AECI Limited by 2x

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