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 design and build data platforms in line with the bank's data journey.
• As a Data Engineer in the Life Insurance division, you'll find yourself at the forefront of data transformations, playing a crucial role in enhancing our data capabilities to better serve our clients and stakeholders.
• Your insights will shape our decision-making process, drive growth, and propel us ahead of the competition. The data and opportunities in our Life Insurance sector are yours to champion.

Are you someone who is:

• Passionate about leveraging data to drive innovation in the life insurance industry.
• Thrive in a dynamic, collaborative work environment.
• Ready to significantly grow your career and skills in a multi-disciplinary team setting.

​​​​​​​What You'll Do:

• Design and build robust ETL pipelines using Ab Initio and Teradata to ensure efficient data processing and integration.
• Develop data products that enhance operational processes and provide valuable insights for business decisions.
• Spearhead data projects that drive insights and business value, focusing on improving customer experiences and operational efficiency.

​​​​​​​What We Are Looking For:

• Qualifications: A relevant Degree in Information Technology, Computer Science, Data Sciences, Statistics, or Engineering.
• Experience: A minimum of 4 - 6 years of relevant experience in Data Engineering and Analytics with a proven ability to develop and implement data solutions.
• Strong proficiency in ETL tools, particularly Ab Initio, and experience with Teradata for data warehousing.
• Proficient in programming languages and technologies such as SQL, Python, PySpark, and Scala.
• Familiarity with data orchestration tools like Control-M and experience with data visualization tools is a plus.
• Strong analytical skills with problem-solving techniques and meticulous attention to detail.
• Relevant experience and/or a keen interest in exploring artificial intelligence and machine learning techniques to enhance data processing and insights.
• A knack for translating complex data into actionable business recommendations.
• A passion for innovation and a desire to drive positive change in the life insurance industry.

End Date: February 14, 2026