Absa Bank Jobs – 07 October 2026

To apply, click on the link at the end of the posts and all the best with your applications

BI Data Analyst else Data Analyst

Empowering Africa’s tomorrow, together…one story at a time.

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Belonging at Absa

Absa is committed to creating an inclusive workplace where everyone can thrive. We are an equal opportunity employer and welcome applications from suitably qualified individuals from diverse backgrounds. In support of our Diversity, Equity, Inclusion and Belonging (DEIB) commitments and Employment Equity objectives, preference may be given to candidates from underrepresented designated groups, including persons with disabilities. We encourage applicants who may require reasonable accommodation during the recruitment process to let us know so that appropriate support can be provided.

Job SummaryWe are looking for a BI Data Analyst else Data Analyst to provide support to the business through the development and maintenance of accurate information and the analysis of available information. To provide valuable insights and support to business through the development and maintenance of accurate information and analysis of available data.

Job Description

Key accountabilities

Accountability: Management information Production

• Coordinate the monthly collection of environmental sustainability data from internal and external data providers, including energy, fuel, waste, water, paper, renewable energy and other environmental performance indicators.
• Ensure all required environmental datasets are submitted within agreed reporting timelines and proactively follow up on outstanding or incomplete submissions
• Review source data for completeness, consistency, reasonableness and accuracy prior to inclusion in reporting systems and management reports
• Maintain documented validation processes and supporting evidence to ensure data is suitable for internal reporting, external reporting and assurance requirements
• Develop new reports, report formats and standards based on identified user requirements for the business, using multiple technologies
• Analyse derived information to create value add understanding of insights and opportunities presented by the data set
• Prepare customised reports based on identified requirements from the business at large
• Develop regular performance reports particularly related to needs of the business sales force to aid performance measurement and management
• Continuously identify opportunities to automate reports and to eliminate duplicate and manual report production

Accountability: Provide value-add insight

• Develop a thorough understanding of the key business challenges through engagement with all stakeholders in the business
• Identify opportunities through which Analytics can assist in addressing these challenges, present these to relevant stakeholders and implement
• Identify business opportunities in support of the business sales initiatives through analysis of the business management information and management information that may reside outside the business
• Assist stakeholders in developing business cases for new products by providing relevant information to support identified business opportunities. Ensure that the management information input in business cases is credible by ensuring accuracy of the data used
• Propose approaches to the business on monitoring measures or key performance indicators (KPIs) associated with the business case and business model and ensure creditability of data received to support the measures or KPIs
• Analyse trends within the business data to reduce risks, optimise performance of the business and inform People Function decisions.
• Review, test and validate Power BI dashboards and reporting visualisations on a regular basis to ensure that reported figures reconcile to source data and approved reporting outputs
• Verify the accuracy of calculations, measures, KPIs, trends and visual representations displayed on dashboards before reports are presented to management and stakeholders
• Investigate and resolve dashboard data discrepancies in collaboration with reporting teams, system administrators and business stakeholders

Accountability: Governance and control

• Conduct detailed monthly validation and quality assurance reviews on all environmental sustainability data received from internal and external data providers
• Verify completeness, accuracy, consistency and integrity of all environmental datasets, including energy, fuel, water, waste, paper, renewable energy, greenhouse gas emissions and other reporting metrics
• Challenge data submissions where anomalies, gaps, variances or inconsistencies are identified and work with data providers and relevant technology teams to resolve issues prior to reporting
• Perform trend analysis, variance analysis and reasonable checks to identify potential reporting errors and ensure data quality standards are maintained
• Maintain audit trail and supporting documentation for all reported environmental data to support internal audit, external assurance and regulatory reporting requirements
• Ensure all environmental data complies with approved reporting methodologies, calculation approached and governance standards
• Escalate material data quality issues, reporting risks and non-compliance with reporting requirements to management for resolution
• Review and validate all environmental reporting outputs, scorecards, dashboards and management reports before publication or distribution to stakeholders

Accountability: Business partnering

• Build effective working relationships with business stakeholders to develop a detailed understanding of their business imperatives and objectives
• Maintain an interactive process with stakeholders as the analytical solution is being developed – present and receive feedback on work-in-progress
• Perform a consultancy role with business stakeholders. Present the final analytical outputs to stakeholders and assist in interpreting the results and providing advice & recommendations on the implementation of actions
• Educate users where required on the design or how to utilise the solution
• Engage with the business teams on an ongoing basis to understand management information needs and sensitise them to any relevant existing reports or management information outputs that will result in value-add opportunities in their respective areas
• Conduct impact analysis of any proposed changes that will impact on management information reporting
• Actively engage and participate in new initiatives within the business to ensure that the management information component is addressed
• Engage with other key stakeholders within the Group to ensure that the business leverages off what is available and are aware of initiatives in the group that may impact on the business

Accountability: Continuous self-development and growth

• Stay abreast of knowledge and skills relevant to the level and area of work, as well as actively seeking to attain those required for the next level of work with particular focus on best practices
• Continuously enhance the business expertise by analysing its drivers, key indicators, relationships and trends.
• Consider all influencing events, quantify the impact on the business and pro-actively find solutions
• Develop a thorough knowledge of various systems and related reporting including ability to build / adjust reports within Workday.

QUALIFICATIONS AND EXPERIENCE

Education:

Bachelor’s Degree in one of the following:

• Information Technology
• Statistics
• Environmental Management
• Environmental Science
• Business Analytics

Work Experience:

• 3-5 years’ experience in data analysis, business intelligence, sustainability reporting, environmental reporting or data governance
• Experience performing detailed data validation, reconciliation and quality assurance activities
• Experience working with large and complex datasets from multiple source systems
• Experience developing, reviewing or maintaining Power BI dashboards and reporting solutions
• Experience supporting audit, assurance or regulatory reporting processes would be advantageous
• Knowledge of environmental sustainability of ESG reporting metrics and methodologies would be advantageous

COMPETENCIES

Leadership Competencies:

• Analytical Thinking
• Attention to Detail
• Courageous Challenge
• Driving Execution
• Accountability
• Risk and Control Mindset
• Stakeholder Management

Knowledge and Skills

• Data Quality Management
• Data Validation and Reconciliation
• Power BI Reporting
• Root Cause Analysis
• Attention to Detail
• Analytical Thinking
• Environmental Sustainability Data Management
• Reporting Governance and Controls
• Stakeholder Management
• Audit and Assurance Support
• Report Writing

EducationBachelor’s Degree: Information Technology

Click here to apply

Lead Specialist: Data Quality and Master Data Management

Empowering Africa’s tomorrow, together…one story at a time.

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Belonging at Absa

Absa is committed to creating an inclusive workplace where everyone can thrive. We are an equal opportunity employer and welcome applications from suitably qualified individuals from diverse backgrounds. In support of our Diversity, Equity, Inclusion and Belonging (DEIB) commitments and Employment Equity objectives, preference may be given to candidates from underrepresented designated groups, including persons with disabilities. We encourage applicants who may require reasonable accommodation during the recruitment process to let us know so that appropriate support can be provided.

Job SummaryThe Data Quality and Master Data Management Lead Specialist will be responsible for strengthening Data Quality controls, monitoring data health, supporting issue remediation and driving improved Master Data outcomes across the business. The role will focus on Data Quality rules, monitoring, root cause analysis, remediation tracking and Customer MDM to ensure data is accurate, complete, trusted and fit for business, regulatory and reporting purposes.

Job Description

Key Focus Areas

• Data quality rule definition and implementation.
• Data quality monitoring and reporting.
• Data quality issue identification, logging and remediation.
• Root cause analysis of recurring data quality failures.
• Customer Master Data Management support.
• Critical Data Element quality improvement.
• Data profiling, validation and exception management.
• Business rule documentation and evidence management.
• Stakeholder engagement with business, technology, risk and data teams.
• Governance reporting on data quality and MDM progress.

Key Accountabilities

• Define, document and maintain Data Quality rules in partnership with Data Owners, Data Stewards, business teams and technology stakeholders.
• Monitor data quality results, trends and exceptions across priority data domains, with a strong focus on customer data.
• Identify, log, track and report data quality issues from detection through to remediation and closure.
• Conduct root cause analysis to identify process, system, control or ownership gaps causing poor data quality.
• Support Customer MDM implementation and adoption, including data validation, matching, survivorship, issue management and business readiness.
• Work with business and technology teams to ensure remediation actions address the underlying cause and not only the symptoms.
• Support the definition and monitoring of Critical Data Elements, including thresholds, rules, controls and ownership.
• Prepare regular Data Quality and MDM reports for governance forums, risk committees and management updates.
• Maintain accurate evidence of Data Quality controls, issue remediation, approvals and decisions.
• Contribute to the implementation of Data Management standards, policies and operating procedures.

Operational Effectiveness

• Improve the completeness, accuracy, validity, consistency and timeliness of priority data.
• Ensure data quality issues are tracked clearly, escalated appropriately and resolved within agreed timelines.
• Support the reduction of recurring data defects by addressing root causes at source.
• Strengthen monitoring routines through dashboards, scorecards and exception reporting.
• Drive clear accountability for data quality outcomes across business and system ownership areas.
• Support automation of data quality checks and reporting where possible.
• Ensure Customer MDM activities are aligned to business priorities, risk requirements and operational readiness.

Good Governance

• Promote adherence to Data Quality, Master Data and Data Governance standards.
• Ensure Data Quality rules, thresholds, issues and remediation plans are approved and evidenced.
• Maintain clear audit trails for Data Quality monitoring, root cause analysis and remediation decisions.
• Support governance forums with accurate reporting on data quality performance, risk exposure and MDM progress.
• Escalate material data quality issues, unresolved root causes and ownership gaps through the appropriate governance channels.
• Contribute to improved regulatory reporting, customer data confidence and business decision-making through trusted data.

Stakeholder Management

• Partner with Data Owners, Data Stewards and business teams to define rules, validate issues and agree remediation actions.
• Work closely with Technology, Architecture and MDM teams to resolve system and data integration issues.
• Engage Risk, Compliance, Operations, Finance and Reporting teams to understand downstream impacts of poor data quality.
• Facilitate working sessions to investigate root causes, agree ownership and unblock remediation.
• Provide clear guidance to stakeholders on data quality expectations, evidence requirements and control responsibilities.
• Build trusted relationships by being structured, responsive and solution-oriented.

Qualifications and Education

• Relevant diploma or degree .
• Certification in Data Quality, Master Data Management, Data Governance, DAMA, Information Management or Data Analytics would be advantageous.

Field of Study

Preferred fields include:

• Data Management or Data Governance
• Information Management
• Information Systems
• Computer Science
• Data Analytics
• Business Analysis
• Risk Management or Compliance
• Business Administration

Work Experience

• 5 – 8 years’ experience in Data Quality, Master Data Management, Data Governance, Business Analysis, Data Analytics, Reporting or Information Management.
• Experience defining and implementing data quality rules, controls, thresholds and monitoring routines.
• Experience with data quality issue management, root cause analysis and remediation tracking.
• Solid exposure to Customer MDM, customer data, golden source concepts, matching, deduplication or master data controls.
• Experience working with Critical Data Elements and business rules would be advantageous.
• Experience preparing data quality dashboards, governance reports, scorecards or management updates.
• Experience working in a regulated environment, preferably financial services or banking, would be advantageous.
• Experience using tools such as Ataccama, Informatica, Microsoft Purview, SQL, Power BI, Excel, SharePoint or similar platforms would be beneficial.

Competencies

• Strong understanding of Data Quality and Master Data Management principles.
• Good analytical and root cause analysis capability.
• Strong attention to detail and commitment to accuracy.
• Ability to interpret data quality results and translate findings into practical remediation actions.
• Good understanding of controls, governance, evidence and risk management.
• Strong stakeholder engagement and facilitation skills.
• Good written and verbal communication skills.
• Ability to manage multiple priorities and follow through on actions.
• Structured, disciplined and process-oriented approach.
• Comfortable working across business, technology, risk and governance teams.
• Proficient in Microsoft Excel, PowerPoint and SharePoint. Experience with Data Quality, MDM, SQL or reporting tools would be advantageous.

EducationBachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies

Click here to apply

Lead Specialist: Metadata and Reference Data

Empowering Africa’s tomorrow, together…one story at a time.

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Belonging at Absa

Absa is committed to creating an inclusive workplace where everyone can thrive. We are an equal opportunity employer and welcome applications from suitably qualified individuals from diverse backgrounds. In support of our Diversity, Equity, Inclusion and Belonging (DEIB) commitments and Employment Equity objectives, preference may be given to candidates from underrepresented designated groups, including persons with disabilities. We encourage applicants who may require reasonable accommodation during the recruitment process to let us know so that appropriate support can be provided.

Job SummaryThe Metadata and Reference Data Lead Specialist will be responsible for strengthening the organisation’s Data Governance capability through the effective management of business Glossaries, Data Lineage, Reference Data and Metadata Standards. The role will support improved data understanding, ownership, consistency, traceability and control across the business.

Job Description

Key Focus Areas

• Data glossary development and maintenance.
• Business and technical metadata management.
• Data Lineage documentation and validation.
• Reference Data Governance and control.
• Data Ownership and stewardship support.
• Critical Data Element Metadata enrichment.
• Standards implementation and evidence management.
• Data Quality support through clear definitions, rules and ownership.
• Governance reporting and issue tracking.
• Stakeholder engagement across business, Technology, Risk and Data teams.

Key Accountabilities

• Develop, maintain and enhance the business data Glossary to ensure consistent definitions, terminology and business understanding.
• Support the documentation of Data Lineage across key systems, reports, processes and Critical Data Elements.
• Coordinate Reference Data reviews to ensure values, hierarchies, ownership, usage and controls are clearly defined and maintained.
• Work with Data Owners, Data Stewards, Product Owners and System Owners to confirm definitions, lineage, rules and metadata requirements.
• Support the identification and documentation of Critical Data Elements, including definitions, sources, usage, ownership and controls.
• Maintain accurate Metadata records and ensure alignment to Data Governance standards.
• Identify gaps in Metadata, Glossary, Lineage and Reference Data and track remediation actions.
• Prepare governance updates, dashboards and reports on metadata, glossary, lineage and reference data progress.
• Support audit, risk and regulatory evidence requirements relating to data traceability, ownership and control.
• Contribute to the implementation of data management policies, standards and operating procedures.

Operational Effectiveness

• Improve the completeness, quality and usability of metadata across priority data domains.
• Ensure glossary terms, lineage and reference data artefacts are maintained accurately and timeously.
• Drive consistent use of approved definitions and reference data across reports, systems and business processes.
• Support the reduction of ambiguity, duplication and inconsistent interpretation of data.
• Track actions, dependencies and issues to ensure timely delivery against agreed governance plans.
• Support automation and tooling opportunities for metadata, lineage and reference data management.

Good Governance

• Promote adherence to data governance, metadata, lineage and reference data standards.
• Ensure clear ownership and accountability for key data terms, reference data sets and lineage documentation.
• Maintain reliable audit trails for approvals, changes, decisions and evidence.
• Support governance forums with accurate reporting and clear escalation of risks or issues.
• Ensure metadata and reference data activities support regulatory reporting, risk management and data quality improvement.
• Embed sustainable governance practices that can be evidenced and monitored over time.

Stakeholder Management

• Partner with business stakeholders to define and validate glossary terms, business rules and data usage.
• Work closely with Technology and Architecture teams to document technical metadata and lineage.
• Engage Data Owners and Stewards to confirm ownership, accountability and approval of metadata artefacts.
• Collaborate with Risk, Compliance, Finance, Operations and Reporting teams to ensure data is consistently understood and controlled.
• Facilitate working sessions to resolve definition conflicts, lineage gaps and reference data issues.
• Communicate requirements clearly and provide practical guidance to stakeholders.

Qualifications and Education

• Relevant diploma or degree
• Certification in Data Governance, Metadata Management, DAMA, Information Management, Data Quality or Data Architecture would be advantageous.

Field of Study

Preferred fields include:

• Data Management or Data Governance
• Information Management
• Information Systems
• Computer Science
• Business Analysis
• Risk Management or Compliance
• Business Administration
• Data Analytics or Reporting

Work Experience

• 5 – 8 years’ experience in Data Governance, Metadata Management, Reference Data, Data Quality, business analysis, reporting, risk or Information Management.
• Experience developing or maintaining a data glossary, business definitions, metadata repositories or data catalogues.
• Experience with data lineage documentation across systems, reports, processes or data flows.
• Exposure to reference data governance, including code sets, hierarchies, ownership and change control.
• Experience working with Data Owners, Data Stewards, Technology teams and business stakeholders.
• Experience in a regulated environment, preferably financial services or banking, would be advantageous.
• Experience using tools such as Collibra, Informatica, Ataccama, Microsoft Purview, Power BI, Excel, SharePoint or similar platforms would be beneficial.

Competencies

• Strong understanding of data governance principles.
• Good knowledge of metadata, glossary, lineage and reference data concepts.
• Strong analytical and problem-solving ability.
• Excellent attention to detail and commitment to accuracy.
• Ability to translate technical data concepts into clear business language.
• Strong stakeholder engagement and facilitation skills.
• Good written and verbal communication skills.
• Ability to manage multiple priorities and follow through on actions.
• Structured, disciplined and process-oriented approach.
• Comfortable working across business, technology, risk and governance teams.
• Proficient in Microsoft Excel, PowerPoint and SharePoint. Experience with data governance or metadata tools would be advantageous.

EducationBachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies

Click here to apply

Lead Specialist: Records, Risk and Reporting

Empowering Africa’s tomorrow, together…one story at a time.

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Belonging at Absa

Absa is committed to creating an inclusive workplace where everyone can thrive. We are an equal opportunity employer and welcome applications from suitably qualified individuals from diverse backgrounds. In support of our Diversity, Equity, Inclusion and Belonging (DEIB) commitments and Employment Equity objectives, preference may be given to candidates from underrepresented designated groups, including persons with disabilities. We encourage applicants who may require reasonable accommodation during the recruitment process to let us know so that appropriate support can be provided.

Job SummaryThe Records, Risk and Reporting Lead Specialist will be responsible for supporting the effective management of Records Governance, Data Risk controls, reporting obligations and regulatory readiness across the business. The role will focus on BRIAR, EUDA, Records Retention, Records Destruction, Evidence Management, Risk Monitoring, Control Execution and Stakeholder Engagement to ensure the business remains compliant, audit-ready and operationally effective.

Job Description

Key Focus Areas

• BRIAR oversight, coordination and evidence tracking.
• EUDA governance, review coordination and control monitoring.
• Records retention implementation and compliance.
• Records destruction planning, tracking and execution support.
• Data and Records risk reporting.
• Issue, action and remediation tracking.
• Governance forum preparation and reporting packs.
• Audit, risk and regulatory evidence management.
• Stakeholder engagement across business, risk, compliance, technology and operations.
• Continuous improvement of records, risk and reporting processes.

Key Accountabilities

• Coordinate and monitor BRIAR activities, ensuring reviews are completed, evidence is maintained and actions are tracked to closure.
• Support EUDA reviews by ensuring inventories, assessments, approvals and remediation actions are complete and accurate.
• Drive records retention compliance by working with business areas to identify, classify and manage records in line with approved retention requirements.
• Support records destruction activities, including validation, business sign-off, control checks and reporting.
• Maintain accurate records of risks, issues, actions, decisions and control evidence.
• Prepare regular management reports, dashboards and governance packs covering records, risk, BRIAR, EUDA, retention and destruction progress.
• Track audit findings, risk actions and remediation commitments to ensure timely closure.
• Support the implementation of Data Management and Records Management standards, policies and procedures.
• Identify control gaps, process weaknesses and areas requiring escalation.
• Provide operational support to governance forums, including agenda preparation, minutes, action logs and reporting updates.

Operational Effectiveness

• Ensure timely execution of agreed records, risk and reporting activities.
• Improve the quality, consistency and completeness of evidence submitted by business stakeholders.
• Maintain disciplined tracking of actions, decisions, risks and dependencies.
• Support automation and simplification of manual reporting where possible.
• Ensure reporting is accurate, insightful and aligned to business, risk and governance requirements.
• Monitor performance against agreed timelines, standards and control expectations.

Good Governance

• Promote adherence to Data Management, Records Management, Risk and compliance standards.
• Ensure appropriate governance is applied to EUDA, BRIAR, retention and destruction processes.
• Maintain clear audit trails for reviews, approvals, evidence and decisions.
• Support readiness for internal audit, risk reviews and regulatory oversight.
• Escalate overdue actions, control gaps and non-compliance through the correct governance channels.
• Contribute to a strong control environment by embedding accountability and evidence-based reporting.

Stakeholder Management

• Partner with business units to obtain evidence, resolve queries and drive timely completion of actions.
• Work closely with Data Management, Records Management, Risk, Compliance, Legal, Technology and Operations teams.
• Build trusted relationships with stakeholders by providing clear guidance, structured follow-up and practical support.
• Facilitate discussions to resolve blockers related to records, risk, retention, destruction, BRIAR and EUDA.
• Communicate requirements clearly and professionally across different levels of the organisation.

Qualifications and Education

• Relevant diploma or degree 
• Additional certification in Records Management, Risk Management, Data Governance, Compliance, Audit or Information Governance would be advantageous.

Field of Study

Preferred fields include:

• Records and Information Management
• Data Management or Data Governance
• Risk Management
• Compliance or Governance
• Business Administration
• Information Systems
• Auditing or Internal Controls

Work Experience

• 5 – 8 years’ experience in Records Management, Risk Management, Governance, Compliance, Data Governance or Reporting.
• Experience working with BRIAR, EUDA, Records Retention, Records Destruction or similar Governance/Control processes would be advantageous.
• Experience preparing management reports, dashboards, governance packs or risk committee updates.
• Experience tracking audit findings, remediation actions, risks and control evidence.
• Experience working in a regulated environment, preferably financial services or banking.
• Strong understanding of policy implementation, control monitoring and evidence management.

Competencies

• Strong attention to detail and commitment to accuracy.
• Good understanding of Governance, Risk and Control principles.
• Strong reporting and Analytical skills.
• Ability to manage multiple priorities and deadlines.
• Excellent stakeholder engagement and follow-up skills.
• Strong written and verbal communication skills.
• Ability to work independently and escalate appropriately.
• Good problem-solving and process improvement mindset.
• High level of accountability, discipline and professionalism.
• Experience with Power BI would be advantageous.

EducationBachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies

Click here to apply

Network Administrator

Empowering Africa’s tomorrow, together…one story at a time.

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

My Career Development Portal: Wherever you are in your career, we are here for you. Design your future. Discover leading-edge guidance, tools and support to unlock your potential. You are Absa. You are possibility.

Job SummarySupport the installation, configuration and ongoing supporting of Local Area Network (LAN), Wide Area Network (WAN), and internet system or a segment of a network system. Participate in the planning and implementation of projects where networks are impacted or required. Install, maintain and resolve issues pertaining to networks.

Job Description

• Administer and maintain LAN, WAN, Wi-Fi, Internet, VPN, and network security infrastructure.
• Monitor network availability, performance, and capacity, proactively identifying and resolving issues.
• Implement and maintain network security controls, patches, and configuration standards.
• Support network projects, upgrades, deployments, and technology refresh initiatives.
• Troubleshoot and resolve network incidents within agreed service levels.
• Maintain network documentation, diagrams, configurations, and operational procedures.
• Manage relationships with network service providers and support vendors.
• Ensure compliance with security, governance, and change management requirements.
• Drive continuous improvement, optimization, and operational excellence across network services.

EducationHigher Diplomas: Physical, Mathematical, Computer and Life Sciences

Click here to apply

Lead Data Engineer

Empowering Africa’s tomorrow, together…one story at a time.

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Belonging at Absa

Absa is committed to creating an inclusive workplace where everyone can thrive. We are an equal opportunity employer and welcome applications from suitably qualified individuals from diverse backgrounds. In support of our Diversity, Equity, Inclusion and Belonging (DEIB) commitments and Employment Equity objectives, preference may be given to candidates from underrepresented designated groups, including persons with disabilities. We encourage applicants who may require reasonable accommodation during the recruitment process to let us know so that appropriate support can be provided.

Job SummaryLeveraging a thorough understanding of the business data requirements & own data subject matter expertise (ahead of trend), set data architecture direction & lead the agile solution design, deployment, implementation & ongoing optimization of enterprise wide data retrieval, storage and distribution across an estate.

Job Description

Data Architecture & Data Engineering:

• Take ‘one stop shop’ accountability for the retrieval, storage, processing & distribution of data across a business area (data eco-system)
• Collaborate with data science teams & broader business & technical stakeholders to analyse customer data requirements & leverage analysis to identify & accurately spec / frame & set the appropriate data architecture for the business area
• Take accountability for deeply understanding the technical landscape and bank wide architecture that is connected to or dependent on the business area supported in order to effectively design & deliver data solutions (architecture, pipeline etc.)
• Leverage expertise in analytical & creative problem solving to synthesise data solution designs (build a solution from its components) beyond the analysis of the problem
• Lead design thinking processes to successfully deliver data solution blueprints & associated roadmaps
• Leverage state of the art relational and No-SQL databases as well integration and streaming platforms do deliver sustainable business specific data solutions.
• Lead the end to end solution design & implementation process for all data retrieval, storage & distribution solutions including contributing to and in some cases lead all phases of the development lifecycle including e.g. design process
• Develop high quality data retrieval, storage & distribution design and architecture in a test driven & domain driven / cross domain environment
• Build analytics tools that utilize the data pipeline by quickly producing well-organised, optimized, and documented source code & algorithms to deliver technical data solutions
• Create & Maintain Sophisticated CI / CD Pipelines (authoring & supporting CI/CD pipelines in Jenkins or similar tools and deploy to multisite environments – supporting and managing your applications all the way to production)
• Automate tasks through appropriate tools and scripting technologies e.g. Ansible, Chef
• Debug existing source code and polish feature sets.
• Assemble large, complex data sets that meet business requirements & manage the data pipeline
• Build infrastructure to automate extremely high volumes of data delivery and
• Creatively solve data volume and scaling challenges.
• Create data tools for analytics and data science teams that assist them in building and optimizing data sets for the benefit of the business
• Ensure designs & solutions support the technical organisation principles of self-service, repeatability, testability, scalability & resilience
• Apply general design patterns and paradigms to deliver technical solutions
• Inform & support the infrastructure build required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
• Continuously optimise, improve & automate data retrieval, storage & distribution processes
• Work across the value chain and in particular with QA & CSO to define and implement quality assurance routines & processes
• Work across the value chain and in particular with QA & CSO to ensure the undisputable separation, security & quality of the organisation’s data
• Meaningfully contribute & ensure solutions align to the design & direction of the Group Architecture & in particular data standards,
• principles, preferences & practices. Short term deployment must align to strategic long-term delivery.
• Meaningfully contribute & ensure solutions align to the design and direction of the Group Infrastructure standards and practices e.g. OLA’s, IAAS, PAAS, SAAS, Containerisation etc.
• Strategically & operationally monitor the performance of data products and services ensuring ongoing optimization & cost to value for our businesses (think bank wide)
• Stay ahead of the curve on data retrieval, storage & distribution technologies & processes (global best practices & trends) to ensure best practice

People Management:

• Coach & mentor other engineers
• Conduct peer reviews, testing, problem solving within and across the broader team
• Provide technical subject matter expertise and support in the attraction and recruitment of Product Engineers for the organization
• Participate as a subject matter expert in the development & development planning of the broader data engineering team
• Support the people change teams in the design of adoption processes (Customer, Employee & 3rd Party Adoption)

Risk & Governance:

• Identify technical risks and mitigate these (pre, during & post deployment)
• Update / Design all application documentation aligned to the organization technical standards and risk / governance frameworks
• Create business cases & solution specifications for various governance processes (e.g. CTO approvals)
• Participate in incident management & DR activity – applying critical thinking, problem solving & technical expertise to get to the bottom of major incidents
• Deliver on time & on budget (always)
• Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management
• Framework and Absa Policies and Policy Standards.
• Understand and manage risks and risk events (incidents) relevant to the role.

Click here to apply

Junior Workday Functional Specialist

Empowering Africa’s tomorrow, together…one story at a time.

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Belonging at Absa

Absa is committed to creating an inclusive workplace where everyone can thrive. We are an equal opportunity employer and welcome applications from suitably qualified individuals from diverse backgrounds. In support of our Diversity, Equity, Inclusion and Belonging (DEIB) commitments and Employment Equity objectives, preference may be given to candidates from underrepresented designated groups, including persons with disabilities. We encourage applicants who may require reasonable accommodation during the recruitment process to let us know so that appropriate support can be provided.

Job SummaryThis position requires an understanding of system configuration and foundational experience working on cloud-based platforms. The incumbent will work alongside a Strategic Lead and Specialist Configurators to ensure the optimal operation, maintenance, and enhancement of the overall platform. The role includes complex testing, business process design, process implementation, analysis, reporting, system support, and ongoing maintenance aligned to best practice recommendations. Exposure to Human Capital technology platforms such as Workday, SAP, Sage, and other HR-related systems will be highly advantageous. Knowledge of HR processes, system integrations, and cloud-based application support is desirable. Experience with Workday and HR technology ecosystems is relevant to the role.

Job Description

• Support Tier 1 case management and customer support teams with technical queries.
• Coordinate with team members to analyse and troubleshoot complex system issues, supporting configuration and implementation changes to the application and participating in testing and validation activities.
• Analyse business problems and processes to identify functional and non-functional solutions that meet business requirements.
• Ensure the design, development, configuration, testing, and deployment of platform features are completed successfully, considering out-of-the-box capabilities and platform best practices.
• Ensure all dependent integrations, reports, and business requirements are maintained and supported as ongoing system changes are introduced.
• Work collaboratively as part of a broader functional team responsible for the overall platform and provide cross-functional support where required.
• Perform application maintenance and manage support for platform-related incidents.
• Take ownership of business requirements for small enhancements and drive them through to implementation.
• Maintain platform stability, usability, and performance across production and non-production environments.
• Monitor application performance and identify, investigate, and remediate system errors.
• Provide configuration support across the platform ecosystem.
• Assist with estimating effort and resource requirements for releases and enhancements.
• Participate in testing cycles, ensuring test evidence is maintained according to governance standards and that identified issues are resolved through retesting and validation with business stakeholders.
• Support and maintain Workday, SAP, Sage, and other HR technology platforms, including configurations, integrations, reporting, troubleshooting, and process optimisation.
• Assist with HR system enhancement projects, upgrades, releases, and business process improvements.

Experience:

• Minimum 2 years’ experience supporting, configuring, testing, and maintaining cloud-based applications or enterprise platforms.
• Experience working with Workday, SAP, Sage, or other Human Capital Management (HCM) / HR Information Systems (HRIS).
• Experience in system configuration, business process analysis, testing, reporting, and troubleshooting.
• Exposure to system integrations, release management, and application support.
• Experience supporting business users and resolving platform-related incidents.
• Knowledge of HR, Payroll, Talent Management, Recruitment, Learning, or Workforce Management processes would be advantageous.

EducationNational Diplomas and Advanced Certificates: Information Technolog

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