Data Engineer

Ops Data Engineer, you will support ANZ Operations and the wider supply chain by driving efficiency, managing operational complexity, and improving decision-making through data engineering, technical automation, and practical AI-powered solutions. You will own and enhance key data pipelines, identify high-impact opportunities for automation, and develop scalable applications that solve real-world operational challenges.

This role is based in Auckland and reports to the

Senior Manager - Ops Data Engineering ANZ

Responsibilities

• Scale and optimize data pipelines, data quality, accessibility, and database efficiency to support reporting, automation, and AI workflows.
• Design, build, deploy, and maintain practical AI-powered applications, tools, and workflows that eliminate manual effort and streamline supply chain processes.
• Partner closely with business and operational stakeholders across Australia and New Zealand to translate business requirements into high-value technical solutions.
• Promote data and AI literacy across teams, championing the responsible and effective adoption of approved AI technologies.
• Implement robust engineering best practices, including version control, testing, lifecycle monitoring, and ongoing support for all deployed pipelines and applications.
• Ensure data and AI solutions adhere strictly to data security, privacy, access controls, quality assurance, and appropriate human oversight.
• Identify gaps in the existing tech stack, explore emerging technologies, and contribute directly to the team’s technical roadmap and continuous innovation.
• SQL, with hands-on expertise building data pipelines, working with APIs, and managing databases.
• Familiarity with modern AI technologies, including generative AI, Large Language Models (LLMs), and AI APIs, and how to apply them to operational use cases.
• A solid foundation in software engineering best practices, including testing, version control, deployment, and data security/privacy principles.
• Proven experience translating ambiguous operational requirements into reliable, maintainable, and cost-effective technical solutions.

Requirements

• A Bachelor’s degree in Computer Science, IT, Engineering, or a related field (or equivalent practical experience).
• Strong programming experience in

Python

• Comfortable navigating ambiguity, thriving in a fast-paced environment, and approaching complex problems with enthusiasm.
• An excellent communicator, adept at explaining complex technical concepts clearly to non-technical stakeholders.
• Self-motivated, intellectually curious, and driven to learn and experiment with emerging technologies.
• A collaborative teammate who values knowledge-sharing, mentoring, and fostering a culture of continuous learning.

Benefits

• The chance to have a significant impact in a leading global food technology company
• Egoless environment, constant learning with room for personal growth
• Free access to Headspace
• HelloFresh Academies - internal learning & development
• A diverse and vibrant international environment, with offices in 18 countries
• Competitive salary & benefits - 70% off HelloFresh
• Access to ClassPass corporate membership - 33 credits per month

Start Date

Immediately available - Can wait a notice period

Location

Penrose, Auckland - hybrid working environment