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Data Engineer

Auckland, Auckland Region, New Zealand

As the 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.

 

You will…

  • 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.

 

You have…

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



You are…

  • 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.



What you’ll get in return… 

 

  • The chance to have a significant impact in a leading global food technology company
  • Flexible working arrangements 
  • 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

Duration: Permanent full time role

Location: Penrose, Auckland - hybrid working environment 

Salary: Competitive salary & employee benefits

#LI-Hybrid 

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