Auckland, New Zealand


We are an award-winning, innovative company designing and building advanced technology to automate farming. Our world leading guidance control techniques shift cows remotely removing the need for fences and eliminating the manual nature of shifting animals. Halter aims to enable a new generation of more efficient, sustainable farming globally.

What will you be working on?

Our GPS enabled, solar powered devices are designed to remotely guide cows. These require robust, long-range wireless communication and conservative power consumption. They also require multiple levels of control software in order to record everything about the animal, understand it and act on this information accordingly. We use this to monitor stock health, feed, behaviour and emotion so that farmers can better understand and treat the needs of each animal. We are always pushing to use the latest advancements in technology and want you to be a part of this process. 

The role will include helping with any and all phases of the data engineering process, including developing and maintaining robust, performant data and ETL pipelines for the company that will enable us to analyse and mine data from our devices.

Core Duties

  • Helping the team collect and pipe data from cattle

  • Data wrangling, sanitisation, stitching and organisation of data

  • Use of an AWS stack to develop and maintain data and ETL pipelines

Who are we looking for?

We are looking for hard-working and skilled Data Engineers with at least 3 years relevant experience in the field of Data Engineering.

Strong proficiencies in the following languages/frameworks/libraries are required:

  • AWS Glue

  • PySpark

  • Python

  • Pandas

  • Git

  • Statistics

The following technical and soft skills are also preferred:

  • Intellectual Curiosity

  • Strong problem solving and critical thinking skills

  • Excellent communication and ability to synergise in any team

Preferred qualifications

Graduated with a Bachelors or higher level degree in Software Engineering, Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field.

Apply -

We want to see everything you have that's interesting: CV's, project portfolios, video, links to code, etc.