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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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.