Lead, Data Engineering

Company Description

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.

Job Description

To design, build, and maintain scalable data pipelines and architectures that support analytics, reporting, and business intelligence initiatives.

• Enables data-driven decision-making by ensuring data availability and quality.
• Leads automation and optimization of data workflows.
• Supports cross-functional teams with robust data infrastructure.

Qualifications

Type of Qualification: First Degree
Field of Study: Engineering or any other related field

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
• 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
• Experience in database programming languages including SQL, PL/SQL, SPARK and or appropriate data tooling. Experience with data pipeline and workflow management tools

Additional Information

Behavioural Competencies:

• Articulating Information
• Developing Expertise
• Embracing Change
• Examining Information
• Interpreting Data
• Team Working

Technical Competencies:

• Big Data Frameworks and Tools
• Data Engineering
• Data Integrity
• Data Quality
• Stakeholder Management