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.

To own and account for a large application platform or a collection of application platforms that deliver a capability/service. To deliver deep specialist technical expertise, leadership in the design, build, securing, monitoring of data pipelines and data stores to applicable architecture, solution designs, standards, and governance requirements. To guide teams to apply suitable technologies/approaches and quality end-to-end data solutions to deliver Engineering excellence

• First Degree in Business Commerce, Information Studies or Information Technology
• 8-10 Years' experience in building databases, warehouses, reporting and data integration solutions, optimise big data data-pipelines, architectures and data sets as well as create and integrate APIs
• Experience working with data science teams to refine and optimise data science and machine learning models, algorithms
• 8-10 Years' strong experience working with large, heterogeneous datasets in building and optimising data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies
• More than 10 years' experience in database programming languages such as SQL, PL/SQL, SPARK and or appropriate data tooling, data pipeline and workflow management tools

Behavioural Competencies:

• Articulating Information
• Challenging Ideas
• Developing Expertise
• Embracing Change
• Examining Information
• Team Working

Technical Competencies:

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