Job Description

To ensure effective movement, collection, integration, storage, and provisioning of data to meet business objectives through sound understanding of business unit requirements and frequent collaboration with relevant stakeholders (such as Enterprise Architecture, Database and Solution Architects, Business Intelligence Developers, Data Scientists and Product Owners, etc.)

Hello, Future Data Engineer II

Welcome to FNB — the home of the #changeables. We design for the shapeshifters and deliver products and services that make us proud of the people who make it all happen.

As part of our talent team, you’ll be surrounded by unique skills, diverse minds, and an adaptable environment that lives up to the promise of staying curious. Now’s the time to imagine your potential in a team where experts come together to ignite meaningful change.

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.

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.

What you’ll gain:

• Opportunities to network and collaborate.
• A challenging and dynamic work environment.
• Space to innovate and grow.

We’re a match if you are:

• Curious & courageous — driven by a desire to learn more and brave enough to challenge the status quo.
• Obsessed with mastery — committed to excellence and always pushing yourself to improve.

Ready to take the next step?
We look forward to engaging with you. Apply now!

#POST
#FNB
#LI-SY1

Important Closing Date Note

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

31/05/26