Data Engineer II at FNB South Africa

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.)

Role purpose:

• We're on the lookout for a talented Data Engineer to join our team and revolutionize how we redesign and rebuild the data platforms in line with the banks data journey.
• As a Data Engineer in FNB Connect, you'll find yourself at the cutting edge of data transformations in one of the most exciting and growing areas in the Bank!
• Your insights will shape our decision-making process, drive growth, and propel us ahead of the competition. From sim cards to Iphones, smart devices and platform solutions, the data and opportunities in FNB Connect are yours to champion.

Are you someone who is:

• Passionate about leveraging Data to drive innovation in the Telecommunications industry
• Thrive in a dynamic, startup work environment.
• Ready to radically grow your career and skills in a multi-disciplinary team environment

​​​​​​​What you'll do:

• Design and build data solutions
• Develop data products to be monetised and made available to operational processes
• Spearhead data projects that drive insights and business value.

What we are looking for:

• Qualifications: A relevant Degree in Information Technology, Computer Science, Data Sciences, Statistics or Engineering.
• Experience: Have a minimum of 2 - 4 years' relevant experience in Data Engineering and Analytics with proven ability to develop and implement data solutions.
• Strong level of proficiency in programming languages such as SSIS, Ab Initio, Hadoop, Teradata, SQL, Control-M, Production Insights, Python, PySpark and Scala.
• Strong analytical skills with problem solving techniques and attention to detail
• Has relevant experience and/or have a keen interest in exploring artificial intelligence and machine learning techniques.
• A knack for translating complex data into actionable business recommendations.
• Passion for innovation and a hunger to drive positive change in the Telecommunications industry.

End Date: September 13, 2025