Data Engineer

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 environment
• Analyse business and system requirements to better understand what the data environment needs — and help build solutions that address them
• Work with architects to contribute to solution design documentation for new and existing data products and systems
• 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 Analysis
• 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 lifecycle
• An understanding of IT systems development processes (SDLC), ETL, relational databases, cloud data warehousing and Agile methodology
• Proven experience with SQL Server and/or business intelligence tools (SSIS, SSRS or SSAS), data warehousing and the data management lifecycle

**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 lifecycle
• 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