Data Engineer

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We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:

1. To see what life at Capitec is all about and complete a short assessment, please click here!

2. Once you have completed the above finalize your application by clicking apply below.

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

It's a bonus if you have:

• Experience with AWS technologies directly, Python or open-source development tools, visualisation tools like MS Power BI or AWS QuickSight, or knowledge of data architecture and the data processing lifecycle6

• An understanding of banking systems and the banking business model

• An interest in AI — our team builds AI tooling actively. It's not required at this level, but curiosity helps

Additional Information

• Clear criminal and credit record

Capitec is committed to diversity, applications to this position will strictly be considered in support of our employment equity goals.