Data Engineer
Hybrid · New Zealand
Core
Design, build, and maintain data pipelines and orchestration for agriculture analytics, BI, and customer reporting.
Role type
Data Engineer
Builds
Data pipelines, warehouse models, and operational software for agribusinesses
Domain
Agriculture / Data Engineering
Required skills
Python, SQL, AWS (Lambda, EventBridge, SQS, S3, DynamoDB), API integration, event-driven systems, data quality, testing, Git, CI/CD, infrastructure as code, BI tools (Looker, Power BI, Tableau, Superset)
Preferred skills
Dagster, dbt, DLT, Athena, Iceberg, ClickHouse, third-party integrations, multi-region systems, data security and governance
Responsibilities
Design and build data pipelines, resolve data issues end-to-end, mentor junior engineers, represent the data team with cross-functional partners
Seniority
Mid-level, hands-on IC
