This is a role for someone who straddles the line between data engineering and AI — someone who can write a solid ETL pipeline in the morning and help shape an AI workflow in the afternoon. If you're curious about what's possible, comfortable with ambiguity, and energised by turning early-stage ideas into working systems, this could be a great fit.
  
  
What you'll be doing

• Designing and building data pipelines and ETL processes that are reliable and maintainable
• Writing and optimising SQL queries (including MySQL) and using Python for data processing and analysis
• Applying prompt engineering techniques as part of AI-driven workflows
• Translating stakeholder requirements into technical solutions — the kind of brief that goes "here's the dataset, figure out the logic"
• Supporting the development of AI agents — including human-in-the-loop systems and analysis of model outputs (call analysis, performance review, etc.)
• Helping move prototypes toward production — iterating with PMs and internal stakeholders along the way

What we're looking for  

• Solid data engineering experience — pipelines, ETL, SQL, Python
• Exposure to or genuine interest in AI/ML and prompt engineering — you don't need to be an expert, but you need to be engaged
• Comfortable with ambiguity — this isn't a role with a fully mapped-out spec on day one
• A practical, delivery-focused mindset — willing to share early drafts, take feedback, and keep moving
• Clear communication skills — you can translate technical work for non-technical stakeholders without losing the detail 
• This role will be 5 days on site - location is East Tamaki.  

Nice to have
Experience on AI-driven products or automation workflows · Exposure to unstructured data (voice, text, etc.) · A background that spans both engineering and analytics — you enjoy both sides of the house

If you’re interested in having a conversation about this role or any future opportunities that might be aligned for you, please email marian@rwa.co.nz!


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