Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

The Data Engineer will be a critical contributor to the bank's data strategy, responsible for the design, construction, and maintenance of robust, scalable, and secure data infrastructure. This role is essential for enabling business intelligence, regulatory reporting, advanced analytics, and machine learning initiatives across the institution. The successful candidate will ensure the efficient flow of high-quality data from source systems to various consumption layers, strictly adhering to financial regulations and internal data governance standards.

Type of Qualification: First Degree
Field of Study: Computer Science, Engineering, Information Systems, or a related quantitative field

Experience Required

5-7 years

• Expert proficiency in SQL and experience working with large-scale relational database systems.
• Strong programming skills in Python or Scala for data manipulation and automation.
• Demonstrated experience with Big Data technologies (e.g., Apache Spark, Apache Kafka).
• Experience designing and building solutions on at least one major Cloud Platform (AWS, Azure, or GCP).
• Familiarity with Data Warehousing concepts and tools, including ETL scheduling and orchestration (e.g., Airflow).
• Solid understanding of version control systems (Git).
• Experience with Power BI for data modelling, dataset preparation, and enabling business analytics consumption.

Behavioural Competencies:

• Articulating Information
• Checking Things
• Developing Expertise
• Interpreting Data
• Taking Action
• Team Working

Technical Competencies:

• Big Data Frameworks and Tools
• Data Engineering
• Data Integrity
• IT Knowledge
• Stakeholder Management