Data Engineer II at FNB South Africa

Job Description

• To design, build, and maintain robust data pipelines and infrastructure that support the effective movement, integration, storage, and provisioning of data across FNB’s broader Africa operations.
• This role ensures data is accessible, reliable, and aligned with business objectives through close collaboration with stakeholders including Enterprise Architecture, Solution Architects, BI Developers, Data Scientists, and Product Owners.

What you’ll do:

Data Engineering & Integration

• Design and maintain scalable ETL/ELT pipelines to ingest data from diverse source systems into enterprise platforms.
• Integrate data across multiple systems to support cross-border reporting and analytics.
• Build and maintain physical data marts and databases to enable operational and strategic decision-making.

Automation & Deployment

• Implement frameworks for automated deployments and task scheduling.
• Develop unit and system tests to ensure reliable delivery of data components into production.
• Create and manage change scripts for production deployment.

Data Quality & Governance

• Conduct data profiling, validation, and quality assessments.
• Introduce monitoring and alerting mechanisms to ensure data integrity.
• Support data governance initiatives aligned with enterprise standards.

Collaboration & Stakeholder Engagement

• Partner with business units to understand data requirements and translate them into technical solutions.
• Participate in architecture forums and contribute to the design of scalable data solutions.
• Support user acceptance testing (UAT) and manage change control processes.

Innovation & Continuous Improvement

• Research emerging technologies and recommend solutions to enhance platform flexibility and cost-effectiveness.
• Contribute to best practices and guidelines for data engineering tools and platforms.
• Promote knowledge sharing and capability building across the team.

Support & Enablement

• Provide infrastructure support for analytics and big data technologies.
• Prepare and provision data for advanced analytics and machine learning models.
• Assist in rolling out new tools and technologies to the team.

What you’ll bring:

• Bachelor’s degree in computer science, Information Systems, or a related field.
• 3–5 years of experience in data engineering or a similar role.
• Proficiency in SQL, Python, and data pipeline tools (e.g., Apache Airflow, Talend).
• Experience with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Spark, Hadoop) is a plus.
• Strong understanding of data warehousing, data modeling, and ETL processes.
• Experience with tools such as Ab Initio, Teradata, or Hive would be advantageous in this role.

Key Competencies:

• Analytical thinking and problem-solving.
• Strong communication and stakeholder engagement skills.
• Ability to work independently and collaboratively in cross-functional teams.
• A continuous learning mindset and adaptability to emerging technologies.

End Date: December 1, 2025