49 Data Warehousing jobs in South Africa

Join a leading Financial Services firm in their quest for excellence! Are you a skilled Data Warehousing Specialist seeking an exciting opportunity to make a significant impact? Our client, a prominent player in the financial industry, is actively seeking a talented professional like yourself to join their dynamic team. You will need to establish and lead a world-class data analytics/warehouse capability for the company to enable future needs for advanced analytics and AI.

Maintain and support:

• Existing MIS databases.
• Existing reports and dashboards.
• Existing data warehouses.

Develop, test, deploy, maintain and support: new databases, and reporting, data warehouse and business intelligence applications from high-level business requirements and designs, through the Software Development Life Cycle.

Remain informed about developments and trends in the data enablement field to assist the business to keep its data analytics and management capability up-to-date, and able to meet the future needs of the business in a constantly maturing and increasingly complex short-term insurance industry.

Outputs:

Internal Process:

• Collaborate with Project Managers and Business Leaders to deliver quality, effective management information, data warehouse and business intelligence applications, in line with the agreed development process and business needs.
• Collaborate with stakeholders to gather requirements, conduct analysis and prioritise requests.
• Conduct research and evaluate potential technical solutions to identified business problems.
• Translate business requirements into workable solutions and document solutions into technical specifications, partnering with Business and/or System Analysts when required.
• Design and code new database and analytics functionality using code that is readable, maintainable and reusable.
• Conduct Unit Testing of own code and resolve all issues/queries timeously.
• Contribute to user acceptance testing (UAT) to ensure that functionality is working correctly.
• Deliver solutions into the applicable production environment once testing has been completed.
• Provide stakeholders with regular feedback on the technical design and timelines for solution ensuring that business needs are met.
• Maintain existing databases and applications according to change requests approved by business as and when needed.
• Diagnose root causes of issues through problem-solving and recommend potential solutions.
• Monitor performance of solutions and make recommendations to improve the performance and functionality of the solutions, where appropriate.
• Log issues found in existing systems as internal change controls and ensure successful resolution of issues.

Responsibilities:

Develop, implement and document Business Intelligence Solutions:

• Contribute to the overall data warehouse architecture and database designs.
• Maintain and oversee the administration and maintenance of the data warehouse.
• Develop and maintain Business Intelligence and reporting technologies and processes.
• Translate stakeholder requirements into technical specifications for Business Intelligence (BI) reports and applications.
• Design and develop reports and dashboards based on Business Requirements Document (BRD) and customer specifications.
• Develop feasible technical specifications and process flows for data provision activities in support of the development of business intelligence solutions.
• Ensure the continued maintenance and enhancement to existing business intelligence solutions.
• Within user specifications extract, transform and load (ELT) data using the relevant tools.
• Verify and quality assure of data provided.
• Provide support to business intelligence users on data-related issues.

Future development and planning:

• Conduct research and undergo training where appropriate, in order to remain abreast of data enablement trends and understand their application in the short-term insurance industry.
• Assist management and colleagues to make the right decisions in terms of planning future data enablement infrastructure, architecture and applications in the company short-term insurance business, in alignment with the company’s standards and the South African financial services regulatory framework.

Self-management and Teamwork:

• Provide authoritative expertise and advice to colleagues.
• Develop and maintain productive and collaborative working relationships with peers and team members.
• Deliver on Service Level Agreements made with colleagues.
• Continuously develop own expertise in terms of industry and subject matter development and application thereof in an area of specialisation.
• Participate and contribute to a culture of work-centric thinking, productivity, service delivery and quality management.
• Contribute to continuous innovation through the development, sharing and implementation of new ideas and involvement of peers.
• Take ownership for driving career development.

Finance:

• Manage financial and other company resources under your control with due respect.

Competencies:

• Business Acumen.
• Client / Stakeholder Commitment.
• Drive for Results.
• Leads Change and Innovation.
• Motivating and Inspiring Team.
• Collaboration.
• Impact and Influence.
• Self-Awareness and Insight.
• Diversity and Inclusiveness.
• Growing Talent.

Skills:

• Communication – articulating information and challenging ideas.
• Analysing and interpreting data.
• Problem-solving.
• Planning and organising – time and task management.

Experience and Qualifications:

• Relevant IT and data analytics qualifications e.g. B.Tech or B.Sc. (Informatics) – Essential.
• Dimensional modelling and/or relevant Microsoft certification – Advantageous.
• On-the-job training/qualifications:
• Microsoft Sql Server.
• Oracle.
• Power BI.
• Advanced MS Excel.
• Starquest.

Some experience in predictive analytic platforms will be advantageous. These include:

• Python.
• Scala.
• Spark.
• AWS Sagemaker.

Some experience in Azure / AWS platform services will be advantageous. These include:

• Azure SQL elastic instance.
• Data factory.
• PowerBI.
• AWS RDS.

Experience:

• Methodologies.
• The candidate must have ability to elicit data requirements from stakeholders.
• The candidate must have clear documentation skills.

Principles:

• The candidate must be familiar with design patterns in the data development industry.
• The candidate must have a solid understanding of Metadata constructs.
• The candidate must have clear understanding of EDW.
• Knowledge of Domain driven design would be an advantage.
• The candidate must be familiar with the concept of Data Marts.
• The candidate must be familiar with abstraction techniques.

Modelling:

• The candidate must have proven data modelling techniques (3 years).
• The candidate must have knowledge and experience in Ralph Kimball data warehouse modelling (3 years).
• Knowledge of Immon data warehouse modelling techniques would add an advantage.
• The candidate must have data normalization skills most especially the 2nd Normal form.

Data Transportation:

• The candidate must have solid experience of ETL systems.
• The candidate must have solid experience of sourcing, staging and loading.
• The candidate must be familiar with parallel loading principles.
• The candidate must be familiar with source to target mapping.

Development Software:

• The candidate must have advanced knowledge of T-SQL (4 years) and the following concepts.
• Dynamic T-SQL.
• Multi-threading.
• Performance optimisation and tuning.
• The candidate must have practical experience of SQL Server Database Engine (4 years).
• The candidate must have practical experience of MS SSIS ETL software (4 years).
• The candidate must have practical experience of MS SSAS OLAP software (4 years).
• The candidate must have practical experience of MS Visual Studio Data Tools (4 years).
• Knowledge of Database Administration would add an advantage.
• Expert knowledge in configuration of database hardware resources.

Repository type:

• The candidate must be able to source data from different repositories.
• The candidate must be fully acquainted with Microsoft SQL Server repository.
• Knowledge of Data Lake would be an advantage.
• Knowledge of Oracle would be an advantage.
• Knowledge of Hadoop is not essential but will also be an advantage.

• Data that Works:
  • Ensure that data flows securely and seamlessly across teams, systems, and partnersmaking timely and accurate insights the norm, not the exception.
• Strategy, Sales & Third-Stream Growth:
  • Lead the development and execution of integrated data, marketing, and income-generation strategiesespecially those linked to academic partnerships and third-stream revenue.
• Leadership That Sets the Tone:
  • Manage cross-functional teams, nurture talent, and build a culture of excellence, accountability, and collaboration.
• Policy & Governance:
  • Design policies and operating procedures that support organisational goals and regulatory standards, while keeping people and purpose at the centre.
• Strategic Communication:
  • Serve as a key advisor, translating strategy into action and keeping everyone aligned on the bigger picture.
• Performance & Innovation:
  • Monitor organisational performance, uncover opportunities, and lead initiatives that drive continuous improvement.

• Solid leadership experience in data strategy, operations, or business transformation
• A track record of developing people, driving performance, and turning vision into delivery
• Strong understanding of stakeholder engagement and revenue-generating strategy
• Bonus: Experience working with or alongside academic institutions or research-driven environments

• Influence strategy at a high level while staying close to meaningful work
• Partner with leading institutions to make a real impact
• Lead a skilled, purpose-driven team in a dynamic and evolving space
• Help shape how data powers decisions, partnerships, and future growth

We are seeking a highly skilled Data Management Specialist to join our financial services team. The ideal candidate will play a pivotal role in managing and enhancing data governance, quality, and architecture to support regulatory compliance, business insights, and operational efficiency.

• Develop and implement data management strategies aligned with business objectives and regulatory requirements.

• Establish and maintain data governance frameworks, policies, and standards.

• Monitor and ensure data quality, integrity, and accuracy across systems.

• Collaborate with stakeholders to define data requirements and metadata standards.

• Support the design and implementation of data architecture and integration solutions.

• Manage data lineage, classification, and cataloging processes.

• Drive continuous improvement in data processes and tools.

• Ensure compliance with data protection regulations and financial services standards.

• Bachelors degree in Information Systems, Data Science, or a related field.

• Proven experience in data management within the financial services sector.

• Strong knowledge of data governance, data quality, and metadata management.

• Familiarity with data architecture and regulatory frameworks (e.g., BCBS 239, GDPR, POPIA).

• Proficiency in data management tools and technologies (e.g., Collibra, Informatica, Microsoft Purview).

• Excellent analytical, communication, and stakeholder engagement skills.

• Relevant certifications (e.g., DAMA, DCAM).

• Experience in change management and data-driven digital transformation.

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The Head of Data Management will lead the development, implementation and management of the bank’s data strategy. This role is accountable for ensuring data integrity, availability, and security while supporting business objectives. The Head of Data Management will work closely with leadership, technology teams and business units to drive data governance, data quality and data architecture initiatives.

Job Responsibilities:

Data Strategy Development and Execution

• Develop and implement a comprehensive data management strategy aligned with the bank’s business goals.
• Drive the adoption of best practices for data management across the organization.
• Ensure data assets are managed and utilized effectively to support decision-making.

Data Architecture and Infrastructure

• Oversee the design, implementation, and maintenance of the bank’s data architecture.
• Collaborate with IT teams to ensure data systems and platforms are scalable, secure, and efficient.
• Evaluate and implement data management technologies and tools.

Data Quality and Integrity

• Lead efforts to ensure data accuracy, completeness, and reliability across the organization.
• Develop and enforce data quality standards and metrics.
• Implement data cleansing and validation processes.

Team Leadership and Development

• Build and manage a high-performing data management team, including data governance, data architecture, data scientists and data quality professionals.
• Provide mentorship, training, and career development opportunities to team members.
• Foster a collaborative and innovative team culture.

Collaboration and Stakeholder Management

• Work closely with business units to understand their data needs and challenges.
• Partner with IT, risk, and compliance teams to ensure data management aligns with broader organizational goals.
• Communicate data management strategies and progress to executive leadership.
• Identify and mitigate risks related to data management, including data breaches and unauthorized access.
• Ensure data management practices align with the bank’s risk management framework.

Innovation and Continuous Improvement

• Stay abreast of industry trends and advancements in data management.
• Continuously improve data management practices and processes to enhance efficiency and effectiveness.
• Drive innovation in data usage, including the implementation of advanced analytics and AI-driven insights.

Data Lifecycle management and Metadata management

• Ensure policies, processes and standards exist for data lifecycle management (i.e. Management of data from creation to deletion) and for metadata management
• Ensure metadata is up-to-date and accessible

Master Data Management

• Ensure policies, processes and standards exist for master data management
• Drive the centralization of key data (like customer information and product data) and ensure it is consistent across the bank.

Data Integration

• Ensure that data required to provide BI is combined from different sources to provide a unified view for Analytics team to utilize.
• Focus areas to achieve this include ETL processes, provision of data lakes, APIs and data synchronization between systems.

Qualifications and Experience:

• Completed a Post B-Degree in Computer Science, Information Systems, Data Management, Engineering or related field (NQF8)
• Completed or studying towards a master’s qualification
• At least 10 years’ experience in implementing and managing a data management function
• + 5 years banking or financial industry experience
• Proven track record of developing and implementing data management strategies and governance frameworks.
• Strong understanding of data management tools and technologies (e.g., SQL, ETL processes, data lakes, cloud platforms).
• Knowledge of regulatory requirements related to data management and privacy.
• Proficiency in data analytics and business intelligence tools.
• Strong understanding and experience with data architecture design, data warehousing, and data integration.
• Understanding of business operations and banking industry

Skills and Attributes:

• Excellent communication skills, both verbal and written with the ability to present complex technical information to non-technical stakeholders
• Strong project management skills and ability to deliver projects within allocated budget
• Strong strategic thinking and problem-solving skills.
• Strong attention to detail and commitment to data accuracy, quality and integrity
• Build relationships between various stakeholders to foster collaboration
• Ability to manage a team of and data scientists, data quality, BI and data architecture specialists
• Methodical
• Creative or Innovative
• Analytical and strategic thinker
• Self- driven and resilient
• High pressure tolerance

Closing date: 10 June 2025

Disclaimers:

The South African Postbank SOC Limited is committed to the achievement and maintenance of diversity and equity in employment, especially with regard to race, gender and disability. In compliance with the bank’s employment equity plans, we encourage and welcome applications from diverse groups from the South African Employee active population. Correspondence will be limited to short-listed candidates only.

Note, only applications received on this platform will be considered. “POPIA sections provides that everyone has the right to privacy and it includes a right to protection against the unlawful collection, retention, dissemination and use of personal information. By applying for employment you consent to the processing of your personal information with Postbank. Your personal information and any attached text or documentation are retained by Postbank for a period in accordance with relevant data legislation.”

If you do not hear from the South African Postbank SOC Limited or its Agent within 3 months of this advertisement, please accept that your application has been unsuccessful. The South African Postbank SOC Limited reserves the right not to fill the positions or to re-advertise the positions at any time.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Finance and Information Technology
• Industries Banking and Financial Services

Referrals increase your chances of interviewing at Postbank (SOC) Ltd by 2x

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Pretoria, Gauteng, South Africa 2 hours ago

Johannesburg Metropolitan Area 2 days ago

Centurion, Gauteng, South Africa 3 weeks ago

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2 weeks ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features.

The Head of Data Management will lead the development, implementation and management of the bank's data strategy.

This role is accountable for ensuring data integrity, availability, and security while supporting business objectives.

The Head of Data Management will work closely with leadership, technology teams and business units to drive data governance, data quality and data architecture initiatives.

Job Responsibilities : Data Strategy Development and Execution Develop and implement a comprehensive data management strategy aligned with the bank's business goals.

Drive the adoption of best practices for data management across the organization.

Ensure data assets are managed and utilized effectively to support decision-making.

Data Architecture and Infrastructure Oversee the design, implementation, and maintenance of the bank's data architecture.

Collaborate with IT teams to ensure data systems and platforms are scalable, secure, and efficient.

Evaluate and implement data management technologies and tools.

Data Quality and Integrity Lead efforts to ensure data accuracy, completeness, and reliability across the organization.

Develop and enforce data quality standards and metrics.

Implement data cleansing and validation processes.

Team Leadership and Development Build and manage a high-performing data management team, including data governance, data architecture, data scientists and data quality professionals.

Provide mentorship, training, and career development opportunities to team members.

Foster a collaborative and innovative team culture.

Collaboration and Stakeholder Management Work closely with business units to understand their data needs and challenges.

Partner with IT, risk, and compliance teams to ensure data management aligns with broader organizational goals.

Communicate data management strategies and progress to executive leadership.

Identify and mitigate risks related to data management, including data breaches and unauthorized access.

Ensure data management practices align with the bank's risk management framework.

Innovation and Continuous Improvement Stay abreast of industry trends and advancements in data management.

Continuously improve data management practices and processes to enhance efficiency and effectiveness.

Drive innovation in data usage, including the implementation of advanced analytics and AI-driven insights.

Data Lifecycle management and Metadata management Ensure policies, processes and standards exist for data lifecycle management (i.e.

Management of data from creation to deletion) and for metadata management Ensure metadata is up-to-date and accessible Master Data Management Ensure policies, processes and standards exist for master data management Drive the centralization of key data (like customer information and product data) and ensure it is consistent across the bank.

Data Integration Ensure that data required to provide BI is combined from different sources to provide a unified view for Analytics team to utilize.

Focus areas to achieve this include ETL processes, provision of data lakes, APIs and data synchronization between systems.

Qualifications and Experience : Completed a Post B-Degree in Computer Science, Information Systems, Data Management, Engineering or related field (NQF8) Completed or studying towards a master's qualification At least 10 years' experience in implementing and managing a data management function + 5 years banking or financial industry experience Proven track record of developing and implementing data management strategies and governance frameworks.

Strong understanding of data management tools and technologies (e.g., SQL, ETL processes, data lakes, cloud platforms).

Knowledge of regulatory requirements related to data management and privacy.

Proficiency in data analytics and business intelligence tools.

Strong understanding and experience with data architecture design, data warehousing, and data integration.

Understanding of business operations and banking industry Skills and Attributes : Excellent communication skills, both verbal and written with the ability to present complex technical information to non-technical stakeholders Strong project management skills and ability to deliver projects within allocated budget Strong strategic thinking and problem-solving skills.

Strong attention to detail and commitment to data accuracy, quality and integrity Build relationships between various stakeholders to foster collaboration Ability to manage a team of and data scientists, data quality, BI and data architecture specialists Methodical Creative or Innovative Analytical and strategic thinker Self- driven and resilient High pressure tolerance Closing date : 10 June Disclaimers : The South African Postbank SOC Limited is committed to the achievement and maintenance of diversity and equity in employment, especially with regard to race, gender and disability.

In compliance with the bank's employment equity plans, we encourage and welcome applications from diverse groups from the South African Employee active population.

Correspondence will be limited to short-listed candidates only.

Note, only applications received on this platform will be considered.

POPIA sections provides that everyone has the right to privacy and it includes a right to protection against the unlawful collection, retention, dissemination and use of personal information.

By applying for employment you consent to the processing of your personal information with Postbank.

Your personal information and any attached text or documentation are retained by Postbank for a period in accordance with relevant data legislation." If you do not hear from the South African Postbank SOC Limited or its Agent within 3 months of this advertisement, please accept that your application has been unsuccessful.

The South African Postbank SOC Limited reserves the right not to fill the positions or to re-advertise the positions at any time.

Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Finance and Information Technology Industries Banking and Financial Services Referrals increase your chances of interviewing at Postbank (SOC) Ltd by 2x Get notified about new Head of Data Management jobs in Pretoria, Gauteng, South Africa .

Pretoria, Gauteng, South Africa 2 hours ago Johannesburg Metropolitan Area 2 days ago Centurion, Gauteng, South Africa 3 weeks ago We're unlocking community knowledge in a new way.

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Are you passionate about data management and information systems? Our client is seeking a skilled individual to join their team as a Data & Management Information Systems Specialist!

1. Head office-based role working with Operations Head, Finance Manager & IT.
2. Understanding of the Companies Operating Model & business processes.
3. Responsible for change control of data into production environment.
4. Align with data architecture & data design mapping to enable data integration.

Qlik; XLS; Power Bi; Internal Applications (proprietary systems built in-house)

1. Experience in financial services/Wealth Management (beneficial).
2. Exposure to Xplan (beneficial).

The purpose of this role is to maintain accurate and up-to-date financial data, ensuring compliance with internal policies and regulatory requirements as well as overseeing and providing guidance to junior staff members in the finance department.

Minimum Qualifications:

• Matric/ Grade 12
• Bachelor’s degree in finance, Accounting, Business Administration, or related field
• Minimum of 3-5 years’ experience in finance, accounting, or data management roles
• Previous debtors/creditors management experience is beneficial with preferred exposure to the retail industry
• Proficiency in financial software and systems, such as ERP systems (e.g., SAP, NetSuite, Oracle, Dynamic 365 ), Microsoft Excel, and database management tools

Responsibilities:

• Data Management:
• Maintain accurate financial records, including accounts receivable, payable, and general ledger entries
• Ensure timely and accurate processing of financial transactions, including invoices, payments, and journal entries
• Regularly reconcile financial data to identify discrepancies and resolve issues promptly
• Develop and implement standardized processes for data entry, validation, and documentation
• Master Data Maintenance:
• Update and maintain master data records, including vendor and customer information, pricing structures, and payment terms
• Conduct regular audits of master data files to ensure completeness, accuracy, and consistency
• Collaborate with stakeholders to address any discrepancies or issues related to master data
• Reporting and Analysis:
• Analyse financial data to identify trends, variances, and opportunities for improvement
• Provide insights and recommendations to management based on financial analysis and performance metrics
• Process Improvement:
• Identify areas for process improvement and efficiency gains in financial data management
• Implement best practices and procedures to enhance data quality, accuracy, and reliability
• Collaborate with cross-functional teams to develop and implement system enhancements or automation initiatives
• Compliance and Risk Management:
• Ensure compliance with internal policies, accounting standards, and regulatory requirements
• Proactively identify and mitigate risks related to financial data integrity and accuracy
• Stay informed about changes in regulations and industry standards impacting financial reporting and data management
• Staff Management:
• Provide guidance and support to junior staff members in the finance department
• Delegate tasks effectively, ensuring timely completion and adherence to quality standards
• Facilitate training and development opportunities to enhance the skills and knowledge of staff

Key Skills and Competencies:

• Good understanding of financial principles and accounting practices
• Excellent analytical and problem-solving skills, with a keen attention to detail
• Effective communication and interpersonal skills, with the ability to collaborate across departments and levels of the organization
• Proven ability to work independently, prioritize tasks, and meet deadlines in a fast-paced environment
• Proven ability to manage and motivate a team
• Excellent organisational skills

Job Overview

Manage and support team of Data Management professionals to efficiently produce databases that meet customer requirements.

Essential Functions

• Manage a team of professional Data Management staff. Size of team could vary from 5+ upwards -15, depending on the Data Management Function. Define and prioritize resource requirements and manage resource assignments across projects. Directly responsible for utilization of staff. Assess and document competency of staff to satisfy position responsibilities. Regularly set goals and evaluates and documents performance. Propose salaries, promotion and termination actions. Actively contribute to recruitment of new staff. Implementation of department/office objectives. Provide expert review and guidance for production of Data Management deliverables including CRF/e-CRF, database design and set-up, validation definition and programming, Data Management Plan and database deliverables to internal and external customers. Provide technical advice and solutions with internal and external customers to solve problems and improve efficiency. Participate in the development and implementation of new processes and technology. Ensure that staff is trained and compliant with current operating procedures and work instructions and project scope of work. Identify and address professional development/training needs of staff. Mentor staff members to develop Data Management process, system, and drug development expertise. Provide operational input into proposals and scope of work. Participate in proposal defenses. Attend customer meetings and lead discussions of project requirements and strategic planning. Understand scope of work, budget, and scope assumptions. Identify out-of-scope work and provide revised costs with supporting documentation. Ensure project milestones are met according to agreed upon timelines. Actively manage quality throughout project. May be Project Manager/Project Lead for a major study or a series/group of studies. Manage staff in accordance with organization’s policies and applicable regulations. Responsibilities include planning, assigning, and directing work
• appraising performance and guiding professional development
• rewarding and disciplining employees
• addressing employee relations issues and resolving problems. Approve actions on human resources matters.

Qualifications

• Bachelor's Degree Clinical, biological or mathematical sciences or related field, or nursing qualification Req
• 7 years of relevant work experience including people management. Equivalent combination of education, training and experience.
• Advanced knowledge of Data Management processes and systems. Solid understanding of clinical drug development process. Excellent written and oral communication skills. Proven leadership skills. Excellent organizational skills and demonstrated ability to manage projects. Effective problem-solving skills. Ability to establish and maintain effective working relationships with coworkers, managers and clients. Advanced knowledge of Data Management processes and systems. Solid understanding of clinical drug development process. Excellent written and oral communication skills. Proven leadership skills. Excellent organizational skills and demonstrated ability to manage projects. Effective problem-solving skills. Ability to establish and maintain effective working relationships with coworkers, managers and clients.

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