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.
Job Summary
Work embedded as a member of squad OR; across multiple squads to produce, test, document and review algorithms & data specific source code that supports the deployment & optimisation of data retrieval, processing, storage and distribution for a business area.
Job Description
Key skills and experience required:
- 5+ years relevant data and software engineering experience
- Relevant B-Degree in Computer Science preferred but not essential if minimum requirements of experience and practical application is evident
Core Data Engineering
- Proficiency in data pipeline development (batch, real-time, file-based)
- Strong experience with AWS services, especially: S3, Glue, Lambda, Step Functions, DataZone
- Familiarity with data lakehouse concepts, Hadoop/Hive, or equivalent
- Experience ingesting from diverse sources: Databases (RDBMS/NoSQL), APIs, file drops, message queues
Data Distribution and Access
- Designing reusable access layers (e.g. APIs, event streams, S3-based delivery)
- Implementing secure data access controls and RBAC
- Building scalable distribution mechanisms for on-prem and cloud consumers
Metadata, Cataloging and Governance
- Experience with data catalogs (AWS Glue, Ataccama, DataZone, or similar)
- Understanding of data lineage, classification, and metadata management
- Contributing to or building tooling for data governance and compliance
Software Engineering Best Practices
- Clean, modular design with maintainability and automation in mind
- Proficiency in Python, C#, or other relevant languages
- Experience with CI/CD pipelines, infrastructure as code, version control
Monitoring and Quality
- Designing and implementing data quality rules, SLAs, validation, and alerts
- Familiarity with centralized logging, observability, and monitoring platforms
Team and Strategy Contribution
- Ability to mentor developers and lead peer reviews
- Comfortable presenting to technical and non-technical stakeholders
- Track record of influencing data standards, architectural decisions, or best practices
Preferred Experience
- Experience with centralized ingestion frameworks or orchestrators
- Understanding of hybrid data architecture: bridging on-prem and cloud ecosystems
- Exposure to reporting platforms or BI tool integration with backend datasets
Key Accountabilities:
Data Architecture & Data Engineering
- Understand 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.)
- Translate / interpret the data architecture direction and associated business requirements & leverage expertise in analytical & creative problem solving to synthesise data solution designs (build a solution from its components) beyond the analysis of the problem
- Participate in design thinking processes to successfully deliver data solution blueprints
- Leverage state of the art relational and No-SQL databases as well integration and streaming platforms do deliver sustainable business specific data solutions.
- Design data retrieval, storage & distribution solutions (and OR components thereof) including contributing to all phases of the development lifecycle e.g. design process
- Develop high quality data processing, retrieval, storage & distribution design 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 multi-site 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
- 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
- Support the continuous optimisation, improvement & automation of data processing, retrieval, storage & distribution processes
- Ensure the quality assurance and testing of all data solutions aligned to the QA Engineering & broader architectural guidelines and standards of the organisation
- Implement & align to the Group Security standards and practices to ensure the undisputable separation, security & quality of the organisation’s data
- Meaningfully contribute to & 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 to & ensure solutions align to the design and direction of the Group Infrastructure standards and practices e.g. OLA’s, IAAS, PAAS, SAAS, Containerisation etc.
- Monitor the performance of data solutions designs & ensure ongoing optimization of data solutions
- Stay ahead of the curve on data processing, retrieval, storage & distribution technologies & processes (global best practices & trends) to ensure best practice
Education
Bachelor's Degree: Information Technology
Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.
Absa Bank Limited reserves the right not to make an appointment to the post as advertised
Top Skills
What We Do
Absa Group Limited (Absa) has forged a new way of getting things done, driven by bravery and passion, with the readiness to realise growth on the African continent and beyond.
We’re a truly African brand, inspired by the people we serve in Botswana, Ghana, Kenya, Mauritius, Mozambique, Seychelles, South Africa, Tanzania, Uganda, and Zambia. We also have representative offices in China, Namibia, Nigeria and the United States, as well as securities entities in the United Kingdom and the United States, along with technology support colleagues in the Czech Republic.
