AI Engineer

Were looking for an AI Engineer to join our growing Data & AI team based in Auckland. This is an exciting opportunity for someone early in their data engineering career whos keen to build their capability in a supportive forward-thinking environment while working on meaningful AI and analytics initiatives across the business. 

Working alongside experienced technical leaders youll help build and maintain reliable data pipelines and data assets that support AI solutions and business insights. Youll gain exposure to modern data platforms and tools while collaborating closely with AI Engineers and delivery teams to bring data-driven solutions to life. 

A typical day could include: 

• Building and maintaining data pipelines to ingest transform and deliver data for AI and analytics use cases  

• Supporting the preparation of structured and unstructured datasets for AI solutions  

• Translate business requirements into clear actionable briefs for the AI Engineering team  

• Create and maintain user-facing documentation guides and training materials for deployed AI solutions  

• Run internal workshops and demonstrations to build AI literacy and drive adoption  

• Act as first point of contact for business stakeholders on AI-related queries and change management  

• Monitor adoption metrics and gather feedback on deployed solutions to inform iteration priorities  

• Develop and deliver internal communications about the AI teams roadmap progress and successes  

• Support the Business Engagement Lead on stakeholder management and executive reporting 

Qualifications :

What were looking for: 

• A tertiary qualification in Computer Science Data Engineering Information Systems or a related field (or equivalent practical experience)  

• Basic understanding of AI/ML concepts and limitations - sufficient to have credible conversations with engineers  

• Proficiency with collaboration tools: PowerPoint Confluence Notion or equivalent 

• Understanding of core data engineering concepts such as ETL/ELT data modelling and data quality  

• Strong problem-solving skills and attention to detail  

• A collaborative mindset and eagerness to learn and grow within a team environment  

It would be a bonus if you also have exposure to: 

• Cloud data platforms such as Azure AWS or GCP  

• Tools such as DTB Airflow Data Factory or similar orchestration platforms  

• Structured and unstructured datasets  

• AI or machine learning data concepts  

• Git or other version-control tools 

Additional Information :

We are intentional about finding the right people allowing us to perform work as a team that truly makes a difference for the business and our return youll get exposure to exciting technology meaningful projects and the opportunity to learn from passionate and experienced people in the Data & AI space. 

 
Apply nowand make an impact with one of Aotearoas most trusted retailers. 

Be part of our journey to make sustainable living easy and affordable for everyone. 

Remote Work :

No

Employment Type :

Full-time