Data & AI Engineer

About the 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)