Analytics Engineer II at Capitec Bank

About the role: 

• We are looking for an Analytics Engineer to join our Payments Data team. This role sits at the intersection of data engineering and analytics, enabling high-quality, reliable data solutions that support electronic payments across retail and business banking. 
• Although newly titled, this role builds on the foundation of the previous Product Data Engineer function, with an increased focus on seniority, ownership, and technical depth. The successful candidate will work within a small, collaborative team responsible for managing and optimising payments data across EFT, DebiCheck, immediate payments, PayShap, and international payments. 
• You will partner closely with analysts, data warehouse specialists, and broader payments and card data teams, contributing to scalable data models and robust data pipelines in a cloud-based environment. 
• This is a replacement role within an established but growing team, offering strong exposure to enterprise-scale data environments and meaningful business impact

Our Ideal Candidate Has:

• We are looking for a technically strong and commercially aware data professional who thrives in a collaborative, corporate environment. 

The ideal candidate will have: 

• 5–7 years of relevant experience in data engineering, analytics engineering, or business intelligence 
• Advanced SQL skills (non-negotiable) 
• Working knowledge of Python 
• Experience working with cloud platforms such as AWS, Snowflake, Google Cloud, or Databricks 
• Exposure to large-scale data warehouse environments 
• Experience in retail, fintech, or payments (payments experience advantageous but not essential) 
• The ability to work cross-functionally with analysts and engineering teams 
• Strong problem-solving skills and attention to data quality and structure 
• While our internal title is Analytics Engineer, candidates currently titled Data Engineer or BI Developer are highly encouraged to apply.

Experience

• Length of experience required is conditional on the qualifications obtained but must include
• Experience in analytics engineering or related roles.
• Proven track record of delivering scalable data solutions and leading projects.
• Experience with CI/CD, testing frameworks, and orchestration tools (e.g., Airflow).
• Experience with productionising reports using engineering principals.

Qualifications (Minimum)

• Bachelor's Degree in Analytical/Data/Technical or Other

Qualifications (Ideal or Preferred)

• Honours Degree in Analytical/Data/Technical or Engineering - Other

Knowledge

Advanced grasp of:

• Data modelling best practices.
• Data governance and quality assurance.
• Cloud data platforms and orchestration tools (e.g., Airflow, Prefect).
• Understanding of software engineering principles (e.g., CI/CD, testing).

Skills

• Analytical Skills
• Communications Skills
• Planning, organising and coordination skills
• Problem solving skills
• Reporting Skills