8 months ago
Auckland, New ZealandSenior
Responsibilities
- Design, build, and maintain scalable batch and streaming data pipelines.
- Own data modeling decisions, schemas, abstractions, and scalable data infrastructure.
- Partner with machine learning, product, and platform teams to provide accessible, accurate, and timely data.
- Use AI tools such as Claude Code and Cursor to improve engineering velocity while keeping pipelines maintainable.
- Build data validation, monitoring, alerting, and quality systems that identify issues before downstream impact.
- Define and evolve data practices and standards across the organization.
- Support and mentor engineers through design discussions, code reviews, and knowledge sharing.
- Help shape data products and contribute to the reliability and freshness of data systems at scale.
- Evolve testing strategies, CI/CD workflows, and infrastructure patterns for data.
Requirements
- Strong experience building and maintaining data pipelines for mission-critical systems.
- Understanding of batch and streaming patterns and data engineering practices including modeling, transformation, orchestration, and quality assurance.
- Familiarity with cloud infrastructure, ideally AWS, including transferable experience with comparable services.
- Ability to build observable, testable, and debuggable systems.
- Product-minded approach with the ability to understand the purpose behind technical work.
- Comfort navigating ambiguity and making pragmatic decisions without a fully defined specification.
- Strong collaboration, communication, and knowledge-sharing skills.
- Curiosity, motivation, passion for the work, and eagerness to learn.
- Interest in agriculture is beneficial but not required.
Benefits
- Daily snacks and drinks.
- Southern Cross Health Insurance support.
- Six months of fully paid parental leave for primary caregivers and four weeks of fully paid secondary caregiver leave, plus other parental benefits.
- Annual $1,000 self-development budget.
- Wellness leave and unlimited paid annual leave.
- Remuneration package including salary, benefits, and an employee stock ownership plan.
- Office-first work arrangement with daily office attendance as the default, while allowing flexibility when needed.
Tech Stack
Categories
Data Engineering
About Halter
Halter builds a livestock management system combining solar-powered smart collars, farm sensors, and software to virtually fence, move, and monitor herds. It sells hardware with a subscription platform to dairy and grazing farmers, letting them remotely shift cattle and track health and behavior. Founded in 2016 and headquartered in Auckland, New Zealand, the privately held company is backed by investors including DCVC and Blackbird.