Data & AI Engineer
Zuru is hiring a Data & AI Engineer in Auckland, New Zealand. Level rates it ; you can apply on Zuru.
Level's read on this job
- Level rates this AI engineer role Uses AI ●●○○: an ordinary role that requires AI tools.
- Tools and skills the posting cites include Databricks.
- Level classifies it as a mid-level role.
- Level lists 93 other open roles at Zuru.
AI in this role
Own the data platform behind a global business, shape how ZURU uses data and AI, and build systems that directly drive real-world decisions.
About ZURU
ZURU is a reimagination company. We look for categories that have stood still, then we build next-generation products and brands that set the new standard. ZURU Toys is reimagining play. ZURU Edge is reinventing everyday consumer brands. Rhodes Pet Science is reimagining pet science. ZURU Tech is leading the next building revolution.
ZURU started in 2003 with two brothers from New Zealand, and we're still founder-owned and operated today. Since then we've become the world's second-biggest privately held toy company, and nearly half of all Gen Y and Gen Z households with kids in the US own a ZURU product. Today we're 5,000 people in 34 offices, selling into more than 150 markets, backed by over 100 acres of fully automated manufacturing. And we're only getting started.
YOUR ROLE
As a Data & AI Engineer, you'll own data pipelines that power real business decisions across ZURU's global operations. Working with Databricks, dbt, Fivetran and AWS, you'll design and run production systems end to end, from ingestion through to the models the business actually reports on. You'll take full ownership of your domains and help shape how the platform evolves.
This role sits at the centre of data-driven decision-making at ZURU. You'll build reliable, well-modelled data products, drive up data quality, and make the platform easier and safer for everyone to build on. Your work determines whether commercial, marketing and logistics teams can trust and act on their numbers, and you'll have a direct hand in the direction of ZURU's data platform and AI capability.
CORE RESPONSIBILITIES
Design, build and own production data pipelines ingesting from SAP, retail POS systems, logistics platforms and marketing channels
Lead migrations of legacy pipelines into modern, scalable architectures, including the design decisions and cutover plan
Model data for analytics and AI use cases, setting the standards others follow
Build observability, testing and alerting into pipelines so issues surface before the business finds them
Improve platform infrastructure and tooling, and reduce operational toil through automation
Partner directly with commercial, marketing and logistics stakeholders to turn ambiguous asks into well-scoped datasets
Review others' work and mentor junior engineers on SQL, Python and pipeline design
Contribute to governance, documentation and platform standards, and to AI-assisted workflows across the team
SKILLS & EXPERIENCE REQUIRED
3+ years of experience building and running data pipelines in production
Advanced SQL, including performance tuning on large datasets
Strong Python for pipelines, automation and tooling, with a working knowledge of software engineering practice (version control, testing, code review)
Hands-on experience with dbt and a cloud data platform (Databricks, Snowflake, BigQuery or Redshift)
Proven experience with orchestration, and a track record of debugging and hardening pipelines that fail in production
Comfortable owning delivery end to end and working through ambiguity without close direction
Clear communicator who documents decisions and can explain trade-offs to non-technical stakeholders
Bonus
Spark, streaming, or large-scale distributed processing
AWS (or equivalent) and infrastructure-as-code such as Terraform
CI/CD for data, data contracts, or data quality frameworks
Exposure to LLM or AI-driven data workflows
Experience mentoring engineers or leading a workstream
Who thrives at ZURU
This isn't a 9-to-5. We move fast, think big and set goals most companies would call impossible, then go after them. The people who thrive here are entrepreneurs at heart. They own their work, chase bold ideas and never stop raising the bar.
At ZURU, you drive your career, and we give you the platform to take it as far as you can. There are opportunities here that you won’t find anywhere else, and you'll be surrounded by talented people who make things happen. We're a true meritocracy: we reward impact, not tenure.
How we work
Big ideas happen when great people work side by side, so we're office-first by design. Being together means faster collaboration, sharper decisions and stronger teams, and it's where the real learning happens. Some flexibility may be available depending on the role, location and business needs, but most roles are office-based.
Want to see what life at ZURU really looks like? Follow LIFE@ZURU on Instagram or www.zuru.com
ZURU – Reimagining tomorrow 🚀
ZURU may use AI tools to help screen, assess or select applicants.
How we rate this
Data & AI Engineer at Zuru rates 43 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $184k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- What's a project where you used Databricks hands-on?
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
- Tell me about a time an AI tool got something wrong. How did you catch it?
Adapt your resume
- List these exact terms on your resume: Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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