Lead, Data Engineering at Standard Bank Group

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