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Halter

Data-driven pasture management for dairy farms

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeAuckland, New Zealand

About the Job

Requirements

  • Strong experience building and maintaining data pipelines for mission-critical systems, with a solid grasp of batch and streaming patterns.
  • A confident understanding of data engineering best practices, including modelling, transformation, orchestration, and quality assurance.
  • Familiarity with cloud infrastructure, ideally AWS; experience with Athena, S3, Kinesis, SQS, SNS, or similar tools is relevant.
  • Understanding of how to build systems that are observable, testable, and easy to debug.

Responsibilities

  • Design, build, and maintain scalable data pipelines that move data reliably from source to insight.
  • Own data modelling decisions, including clean schemas, sensible abstractions, and infrastructure that scales with the business.
  • Work closely with machine learning, product, and platform teams to ensure data is accessible, accurate, and ready when needed.
  • Apply AI tools such as Claude Code or Cursor to improve velocity while keeping pipelines easy to understand and evolve.
  • Champion data quality by building validation, monitoring, and alerting so issues surface before they cause problems downstream.
  • Help define and evolve data practices and standards across the organisation, balancing pragmatic delivery with long-term maintainability.
  • Support and mentor other engineers through design conversations, code reviews, and context sharing.
  • Stay hands-on, helping shape data products that drive decisions as well as the underlying infrastructure.
  • Contribute to the reliability and freshness of data systems, especially when operating at scale.
  • Help evolve testing strategies, CI/CD workflows, and infrastructure patterns for data.

Desired Qualifications

  • Genuine interest in agriculture.
  • A product-minded approach, caring about why something is being built as well as how.
  • Comfort navigating ambiguity and making pragmatic decisions when problems lack a clear specification.
  • Curiosity and motivation to make an impact, along with eagerness to learn.

About the Company

Halter

Data-driven pasture management for dairy farms

Halter provides data-driven pasture management for dairy farms. It delivers daily updates on pasture covers, growth rates, and leaf emergence by combining satellite imagery, local weather, biophysical models, grazing data, and seasonal trends. Farmers use the information to decide where and when to graze, optimize fencing and shifting of livestock, and allocate pasture efficiently to boost animal performance. The platform also hosts a community where farmers share experiences and best practices. Halter’s subscription-based service gives farmers ongoing access to the data and tools they need to run their operation more productively and profitably. Goals include helping farmers maximize pasture use and animal productivity, improve resilience to environmental changes, and build a collaborative farming community.

Company size
501-1,000
Company stage
Series E
Total funding
$428M
Headquarters
Auckland, New Zealand
Founded
2016

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