Job Description

Job Overview

Business Segment:

Personal & Private Banking

Location:

ZA, GP, Johannesburg, 30 Baker Street

Job Type:

Full-time

Job Ref ID:

80409993A-0001

Date Posted:

8/15/2025







Responsible for designing, building, and optimising real-time streaming data architectures that enables hyper-personalisation strategies. The role involves creating and maintaining event-driven triggers and automated solutions to support dynamic data workflows and real-time processing needs with a key focus on building innovative solutions leveraging real-time streaming tools to enable immediate customer data insights and actions. The role required strong data engineering skills with expertise in building and integrating APIs, customer data platforms, and core business applications. Understanding the development and maintenance of scalable streaming pipelines using streaming tools (e.g., Kafka, Flink, Spark Streaming, CDC) and utilising intelligent decisioning software's such as IDS (SAS Viya) will be advantageous.



Qualifications

Qualification:

Degree in STEM (Informatics, Statistics, Mathematics, Computer Science, Engineering or related qualification)



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.

5-7 years experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement and working with API's

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 SAS,SQL, PL/SQL, SPARK and or appropriate data tooling. Experience with data pipeline and workflow management tools

Additional Information

Behavioural Competencies:

Adopting Practical Approaches

Articulating Information

Checking Things

Developing Expertise

Documenting Facts

Embracing Change

Examining Information

Interpreting Data

Managing Tasks

Producing Output

Taking Action

Team Working

Technical Competencies:

Big Data Frameworks and Tools

Data Engineering

Data Integrity

Data Quality

IT Knowledge

Stakeholder Management (IT)

Please note:

All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any from of payment as part of our recruitment process. If you experience this, please contact our Fraud line on +27 800222050 or TransactionFraudOpsSA@standardbank.co.za