Data Intelligence Developer II

Key Purpose

As a Data Intelligence Developer at SA Home Loans, you will design, develop, and maintain cloud-based data solutions that drive meaningful business insights. You’ll work alongside our Data Engineers and stakeholders to deliver high-quality, scalable analytics, leveraging the latest cloud and data technologies.

Key Responsibilities

• Collaborate with stakeholders to gather requirements and define key performance indicators.
• Develop robust data models and ETL/ELT pipelines to ingest, transform, and store data.
• Design and maintain canonical and semantic data models aligned to business and integration needs.
• Ensure data quality and accuracy through validation checks and reconciliations.
• Monitor and optimise the performance of our data environment for efficiency and scalability. Works in partnership with Business representatives (e.g. Product Owner, Business Owner) ensuring alignment and value to the customer

Aligned to values and self-development

• Aligns personal values to the company's culture and values
• Takes responsibility for personal development and career pathing.
• Subscribes to the company's code of ethics.
• Behaves in a manner that enhances the reputation and brand of the department and the company.
• Complies with all legislation governing the organisation.
• Supports and encourages the Amazing service culture.

Alignment to business strategy

A commitment to working in the Salesforce platform and to enhance the skillset of others in this area.

Minimum Requirements

        Education

• BSc in Computer Science, Electronic Engineering, or BCom in Business Information Systems (BIS).
• A high-quality Technikon Diploma will also be considered.
• A Master’s degree is an advantage. 

         Experience

•  4–6 years’ experience in a large organisation (financial services preferred).

Competencies

Technical Competencies:

• Strong foundation in data warehousing concepts and ETL/ELT processes.
• Query Performance Optimisation, indexing, using rowstore and columnstore databases
• Experience using NoSQL platforms like MongoDB, DocumentDB etc.
• Hands-on experience with Snowflake, DBT, Airflow.
• Proficiency in SQL and Python.

Advantageous:

• Knowledge of data virtualisation; experience with Denodo will be a strong advantage.
• Experience working with Amazon Q / Kiro
• Generic Competencies:
• Solid data modelling expertise, both Relational and Non-Relational – Conceptual and Physical Modelling techniques.
• Passion for solving complex problems and delivering high-quality solutions
• Attention to detail
• Process orientated
• Strong communication skills