Data Engineer: Build Scalable Pipelines for AI & Analytics

Fonterra; Auckland; Hybrid; NZD 120,000 - 180,000; Full time

Benefits offered by this job

Health and well-being programs

Flexible/hybrid working where possible

Employee recognition

Support for community involvement and

Job summary

Fonterra is seeking a skilled Data Engineer to design, build and optimise large-scale data pipelines and reusable datasets across our farm-to-enterprise data platforms. You will collaborate with data owners and enterprise teams to deliver reliable data assets that drive analytics and digital solutions for farmers and stakeholders.

You will leverage SQL, Python and cloud-based platforms like Databricks and Microsoft Fabric, with experience in Power BI and Salesforce data sources.

Qualifications

• 5+ years designing and delivering data engineering solutions within medium to large organisations.
• Strong SQL and Python experience, with a track record of building robust data pipelines, models and reusable datasets.
• Experience with cloud-based database platforms such as Databricks and Microsoft Fabric, Power BI and ETL/ELT processes.

Responsibilities

• Design, build and optimise data pipelines, models and reusable datasets.
• Collaborate with data owners and stakeholders to ensure data reliability and governance.
• Monitor and optimise data jobs and pipelines across platforms.

Skills

SQL

Python

Databricks

Tools

Power BI

Salesforce

Google Analytics

Fabric

MS SQL

Job description

Fonterra is seeking a skilled Data Engineer to design, build and optimise large-scale data pipelines and reusable datasets across our farm-to-enterprise data platforms. You will collaborate with data owners and enterprise teams to deliver reliable data assets that drive analytics and digital solutions for farmers and stakeholders.

You will leverage SQL, Python and cloud-based platforms like Databricks and Microsoft Fabric, with experience in Power BI and Salesforce data sources.