Specialist Data Engineer at Absa Group Limited (Absa)

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

End Date: November 19, 2025