Data Engineer
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Before you apply
LocationChristchurch, Canterbury Region, New Zealand
Work modehybrid
Typefull-time
SenioritySenior
DepartmentSoftware Engineering
Company size51–200 people
PostedAug 19, 2026 · 2mo ago
Verified live22h ago
At a glanceSummarised by Seekless from the posting.
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
Handled third-party integrations, multi-region systems, or data security and governance
Skills
Python
SQL
AWS
Lambda
EventBridge
SQS
S3
DynamoDB
Git
CI/CD
Looker
Power BI
Tableau
Superset
Dagster
dbt
DLT
Athena
Iceberg
ClickHouse
Benefits
Remote stipend
Protect the world’s food supply. With data that didn’t exist before.
Onside builds data and operational software for agriculture - helping farms, agribusinesses, contractors and processors know who’s on-site, track movement across properties, and manage biosecurity and health and safety risk at enterprise scale.
Every check-in and site visit builds a record that didn’t exist before. That data, and the network it connects, is what makes Onside valuable, and it grows every day. We’re ranked 38th on the Deloitte Fast 50 (2025) and named to Forbes Asia’s 100 to Watch (2025).
About the role
You’ll own the design, build, and reliability of data pipelines and orchestration for your area, using AI where it helps, and drive the quality of the warehouse models that underpin our analytics, BI, and customer-facing reporting. You’ll resolve data issues end-to-end, fixing root causes rather than symptoms, and have real say in how testing, monitoring, and documentation work in your area. You’ll also 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
Benefits
Four days a week in our Christchurch office - we’re office-first on purpose, because the best work happens in the room together. 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 we’re genuinely proud of.
Join us to protect the world’s food supply.