Absa Group Limited, often stylized as absa, is a South Africa-based multinational banking and financial services company. It is one of the largest financial services groups in Africa and is listed on the Johannesburg Stock Exchange (JSE). Absa offers a range of retail, business, corporate, and wealth management services. Absa Group operates subsidiaries in 12 countries across the African continent. These operations provide a degree of geographical diversification for the 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

Job Summary

• As a Specialist Data Engineer in the Treasury IT team, you will play a critical role in delivering high-quality data solutions that underpin the Funds Transfer Pricing (FTP) and Funding & Liquidity Management domains.
• This role demands deep technical expertise in SAS, a strong understanding of data architecture, and a commitment to regulatory compliance (RDARR, BCBS239).
• You will be responsible for designing, building, and optimizing data pipelines and analytics tools that support Treasury’s risk and funding strategies.
• With a focus on flexibility and adaptability, you will also contribute to the evolution of the data platform, ensuring readiness for future technologies and integration patterns.

Key Responsibilities

Data Architecture & Ecosystem Design

• Translate business and regulatory requirements into scalable, secure, and performant data architectures.
• Design and implement data retrieval, processing, storage, and distribution solutions aligned with Group Architecture and Infrastructure standards.
• Leverage SAS and other enterprise-grade platforms to build sustainable data solutions that support Treasury’s FTP and liquidity management objectives.
• Ensure all solutions are aligned with RDARR and BCBS239 principles, enabling transparency, auditability, and data lineage.

Engineering Delivery & Platform Evolution

• Develop, optimize, and maintain SAS-based data pipelines and analytics tools to support high-volume, high-integrity data processing.
• Apply test-driven development and domain-driven design in a cross-domain environment.
• Build and maintain CI/CD pipelines using tools like Jenkins, and deploy solutions across multi-site environments.
• Automate data processing and infrastructure tasks using scripting and orchestration tools (e.g., Ansible, Docker).
• Demonstrate flexibility and openness to evolving technologies and platforms, contributing to the team’s ability to adapt to future enterprise data strategies.

Data Governance, Quality & Compliance

• Implement robust data quality frameworks, validation routines, and reconciliation processes.
• Ensure all data solutions meet internal and external regulatory standards, including RDARR and BCBS239.
• Maintain comprehensive documentation and support governance processes such as CTO approvals and risk assessments.
• Collaborate with QA and Security teams to ensure secure, compliant, and high-quality data solutions.

Collaboration, Mentorship & Capability Building

• Work closely with data scientists, analysts, and business stakeholders to deliver fit-for-purpose data assets.
• Mentor junior engineers and contribute to the technical growth of the broader team.
• Conduct peer reviews, support testing, and lead collaborative problem-solving initiatives.
• Contribute to the development of user materials and support change management efforts.

Operational Excellence & Continuous Improvement

• Monitor and optimize the performance of data solutions, ensuring cost-effectiveness and scalability.
• Stay current with global best practices in data engineering, SAS development, and data architecture.
• Proactively identify opportunities to improve and automate data processes across the value chain.

Required Qualifications & Experience

• Education: Bachelor’s in Computer Science, Information Systems, Engineering, or related field.
• Experience: 5+ years in data engineering, with significant hands-on experience in SAS development.
• Domain Expertise: Exposure to Treasury, FTP, or Liquidity Management is highly advantageous.

Core Skills & Competencies

Technical Expertise:

• Advanced SAS programming and data integration
• Data architecture and pipeline design
• CI/CD, Jenkins, scripting (e.g., Python, Shell, Ansible)
• Familiarity with relational and NoSQL databases
• Understanding of data warehousing and ETL frameworks

Governance & Compliance:

• Strong knowledge of RDARR, BCBS239, and data governance principles
• Experience in secure data handling, documentation, and audit readiness

Soft Skills:

• Analytical thinking and problem-solving
• Adaptability and learning agility to support evolving enterprise platforms
• Strong communication and stakeholder engagement
• Team collaboration and mentoring

Education

• Bachelor’s Degree: Information Technology