About the role

Why You Would Like It:

• Impact work across analytics and AI use cases
• Small, high-trust team with real autonomy
• Clear growth to Senior
• Auckland hybrid: 2 days in-office, flexible
• Modern stack

The Opportunity:

Join a tight-knit Auckland team building the data platform that powers analytics and AI products. You’ll own pipelines end to end, help choose the right tools, and lift data quality across the business. It’s a great time to join: the foundations are in, the roadmap is busy, and there’s room to influence patterns, standards, and ways of working. You’ll collaborate with engineers and analysts, ship measurable improvements, and document for scale. If you’re motivated by growth, you’ll have a clear path to Senior in 12–24 months, with opportunities to lead a squad over time. Hybrid working with at least two days a week in the office.

Company Profile:

A growing Auckland-based tech organisation with a pragmatic, outcomes-first culture. They value trust, delivery, and learning. The team moves quickly, experiments responsibly, and pairs strong engineering practice with a product mindset around data.

The Role:

• Build, run, and evolve reliable data pipelines
• Develop ELT/ETL across Azure and Snowflake
• Model, transform, and document clean, reusable datasets
• Validate, test, and monitor data quality
• Support infrastructure, observability, and incident response
• Partner with users to troubleshoot and refine outputs

Your Fit:

• Strong SQL and Python; hands-on, pragmatic
• Proven ETL/ELT and data modelling experience
• Experience with cloud data warehouses (e.g., Snowflake)
• Familiar with dbt/Coalesce and Azure Data Factory
• Comfortable engaging customers and peers to solve issues
• Curious about AI and modern data practices
• Degree helps, but practical experience matters most

Keen to join something early and meaningful? There are big benefits to doing so! Send your CV and we’ll give you a call to discuss more details.