Data Engineer

HelloFreshAuckland, AucklandHybridFull-timeMid level, 2–5 yearsListed 1 hour ago

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About this role

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 .

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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.

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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.

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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.

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What you’ll get in return…

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- 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

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