Production Data Engineer, Personal & Private Banking

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 design, code, verify, test, document, amend, and secure data pipelines and data stores according to agreed architecture, solution designs, standards, policies and governance requirements. To monitor and report on own progress and proactively identify issues related to data engineering activities. To collaborate in reviews of work with others where appropriate

Qualification: 

• Field of Study: Computer Science or similar

Experience Required

• 5-7 years Experience in building databases, warehouses, reporting and data integration solutions.
• Experience in AWS / Azure
• Experience building and optimising big data data-pipelines, architectures and data sets.
• Experience in creating and integrating APIs (C# or Python, etc)
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• 5-7 years Experience in database programming languages including SQL, PL/SQL and or appropriate data tooling.
• Experience with data pipeline (SSIS)
• 5-7 years 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

Behavioural Competencies:

• Adopting Practical Approaches
• Articulating Information
• Documenting Facts
• Examining Information
• Interpreting Data
• Managing Tasks
• Producing Output

Technical Competencies:

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