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.

As a Risk Data Solution Engineer, you will be a foundational builder of our next-generation risk data ecosystem. You will design, develop, and maintain the scalable data pipelines and solutions that power all risk analytics and decision-making across the PPB risk function. Working with cutting-edge cloud technologies like Databricks and Denodo, you will be responsible for ensuring our data is reliable, governed, and accessible, directly enabling our data scientists, analysts, and risk managers to derive critical insights with speed and confidence.

Qualification: 

• Completed Matric
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related fiel

Experience Required

• 5-7 years Experience in building databases, warehouses, reporting and data integration solutions. Experience building and optimising big data data-pipelines, architectures and data sets.
• Experience in creating and integrating APIs.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• 8-10 years Deep understanding of data pipelining and performance optimisation, data principles, how data fits in an organisation, including customers, products and transactional information. Knowledge of integration patterns, styles, protocols and systems theory
• 8-10 years Experience in database programming languages including SQL, PL/SQL, SPARK and or appropriate data tooling. Experience with data pipeline and workflow management tools

Behavioural Competencies:

• Articulating Information
• Checking Things
• Examining Information
• Interpreting Data
• Managing Tasks
• Team Working

Technical Competencies:

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