Data Analytics Engineer: AI‑Ready Insights for Dairy

DairyNZ; Otago; On-site; NZD 110,000 - 160,000; Full time

Job summary

DairyNZ is seeking a Data Analytics Engineer to design, build, and support its data and analytics capabilities, enabling trusted, accessible, and fit-for-purpose insights. This role blends data engineering and business intelligence to deliver reliable data pipelines, models, reporting, and dashboards that support strategic and operational decision-making.

You will work with the Digital Solutions Lead and stakeholders across statistics, benchmarking, business services, and science.

Qualifications

• A tertiary qualification in ICT or equivalent is required.
• Approximately 5+ years’ experience in data analytics or data engineering.
• Experience building data warehouses and analytics platforms.
• Strong familiarity with Snowflake, dbt, Power BI and SQL technologies.
• Experience handling large, complex datasets with data governance in mind.

Responsibilities

• Design, build, and maintain secure, governed data pipelines and analytics models.
• Develop curated datasets and semantic models to support self-service insights.
• Deliver high-quality Power BI reports and dashboards with clear storytelling.
• Implement data quality controls to ensure trusted insights.
• Support AI-enabled analytics and responsible AI practices.

Skills

Data analytics

Data engineering

Data modeling

Stakeholder communication

Business intelligence

Education

ICT degree or equivalent

Tools

Snowflake

dbt

Power BI

SQL Server

Azure data services

T-SQL

Job description

DairyNZ is seeking a Data Analytics Engineer to design, build, and support its data and analytics capabilities, enabling trusted, accessible, and fit-for-purpose insights. This role blends data engineering and business intelligence to deliver reliable data pipelines, models, reporting, and dashboards that support strategic and operational decision-making.

You will work with the Digital Solutions Lead and stakeholders across statistics, benchmarking, business services, and science.