Onside builds data and operational software for agriculture
Ranked 38th on the Deloitte Fast 50 (2025) and named to Forbes Asia's 100 to Watch (2025)
Responsibilities
Own the design, build, and reliability of data pipelines and orchestration for your area, using AI where it helps
Drive the quality of the warehouse models that underpin analytics, BI, and customer-facing reporting
Resolve data issues end-to-end, fixing root causes rather than symptoms
Have real say in how testing, monitoring, and documentation work in your area
Mentor junior engineers and represent the data team with Product, Engineering, Customer, and Finance
Requirements
Strong Python and SQL
Experience building reliable data pipelines on AWS - ideally including Lambda, EventBridge, SQS, S3, or DynamoDB
Understanding of APIs, webhooks, event-driven systems, and data quality
Experience with testing, Git, CI/CD, and infrastructure as code
Experience with BI tools such as Looker, Power BI, Tableau, or Superset - and a bonus if you've worked with Dagster, dbt, DLT, Athena, Iceberg, or ClickHouse
A plus if you've handled third-party integrations, multi-region systems, or data security and governance
Conditions
Four days a week in our Christchurch office - we're office-first on purpose
AI tools built into how we work
A connection and capability fund for genuine growth
Strong company rhythms, a fast growth trajectory, and a parental leave policy