Data Engineer at Capitec Bank

About the role

• We're hiring a Data Engineer I — someone who'll join fast-moving team that built our enterprise data lake from the ground up and now owns the full stack: data lake, data warehouse and the platform that keeps it all running. We're looking for someone energetic and self-motivated someone who can manage their own tasks, ask good questions and build real confidence quickly in a team that trusts you to do exactly that. This isn't a role where work gets handed to you. You own your progress here.

What you'll do

• Contribute to the design and development of new data applications and systems that meet the requirements of our Data and Analytics environment2
• Analyse business and system requirements to better understand what the data environment needs3 — and help build solutions that address them
• Work with architects to contribute to solution design documentation for new and existing data products and systems4
• Write and maintain ETL processes across our data lake and data warehouse
• Apply Agile practices, testing standards and data governance principles to everything you build
• Get exposure to AI tooling development — including MCPs, proxies and operational models — as your skills grow

Education (Minimum)

• A relevant tertiary qualification in Information Technology or Data Analysis

Knowledge and Experience
Knowledge:

Minimum:

Must have detailed knowledge of:

• IT systems development processes (SDLC)
• Application development
• ETL processes
• Rational database system and cloud data warehousing 
• Dimensional modelling
• Standards and governance
• Agile development life cycle
• Testing practices

Ideal:

Knowledge of:

• Data analysis and design
• Data architecture (technical design and implementation processes)
• DPLC
• Solid understanding of:
• Banking systems environment
• Banking business model
• Best practices for Quality Assurance (QA)

Experience:

Minimum:

• A relevant tertiary qualification in Information Technology or Data Analysis5
• At least 2 years of solid Python experience — this is the core technical requirement for the role
• Foundational SQL knowledge
• Exposure to AWS — or another cloud platform such as Azure or Google Cloud Platform
• Proven experience with SQL Server and/or business intelligence tools (SSIS, SSRS or SSAS), data warehousing and the data management lifecycle5
• An understanding of IT systems development processes (SDLC), ETL, relational databases, cloud data warehousing and Agile methodologi
• Proven experience with SQL Server and/or business intelligence tools (SSIS, SSRS or SSAS), data warehousing and the data management lifecycle5

Ideal:

Proven experience in:

• Python and/or Open Source development tools 
• Visualisation Technologies: MS PowerBI, AWS QuickSight
• Cloud Environment 
• Experience working in an AWS environment as well as with AWS Technologies