Senior Data Engineer

The role

You will design, build, and maintain scalable data pipelines. You will partner with machine learning, product, and platform teams to design reliable and observable systems.

What you will do

• Design, build, and maintain scalable data pipelines
• Own data modelling decisions
• Work closely with machine learning, product, and platform teams
• Apply AI tools to improve velocity
• Champion data quality by building validation, monitoring, and alerting
• Help define and evolve data practices and standards
• Support and mentor other engineers
• Stay hands-on with data products
• Contribute to the reliability and freshness of data systems
• Help evolve testing strategies, CI/CD workflows, and infrastructure patterns

Required qualifications

• Strong experience building and maintaining data pipelines for mission-critical systems
• Solid grasp of batch and streaming patterns
• Confident understanding of data engineering best practices: modelling, transformation, orchestration, and quality assurance
• Familiarity with cloud infrastructure, ideally AWS
• Understand how to build systems that are observable, testable, and easy to debug
• Product-minded engineer
• Embrace ambiguity
• Highly effective collaborator

Nice to have

• genuinely interested in agriculture

Benefits

• Salary, benefits and an employee stock ownership plan
• Southern Cross Health Insurance
• Annual $1000 self-development budget
• 6 months of fully paid parental leave for primary caregivers
• 4 weeks of fully paid secondary caregiver leave
• Wellness leave
• Unlimited paid annual leave

About the company

Halter enables farmers and graziers to run productive and sustainable operations. The company is backed by Tier 1 investors including Founders Fund, Bessemer Venture Partners, BOND, DCVC, Blackbird, Promus Ventures, Rocket Lab’s Peter Beck and Icehouse ventures.