Data & AI Engineer

Reposted 22 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
Mid level
Consumer Web • Marketing Tech • Design
The Role
Own and develop production data pipelines across SAP, retail, logistics, and marketing systems. Design scalable architectures, migrate legacy pipelines, model data for analytics and AI, and implement testing, observability, alerting, governance, and automation. Partner with business stakeholders to create trusted datasets, improve platform infrastructure, and mentor junior engineers. The role requires strong SQL and Python, dbt, cloud data platform experience, orchestration, production debugging, and end-to-end ownership.
Summary Generated by Built In
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.

Skills Required

  • 3+ years of experience building and running production data pipelines
  • Advanced SQL, including performance tuning on large datasets
  • Strong Python for pipelines, automation, and tooling
  • Working knowledge of software engineering practices, including version control, testing, and code review
  • Hands-on experience with dbt and a cloud data platform such as Databricks, Snowflake, BigQuery, or Redshift
  • Experience with orchestration and debugging and hardening production pipelines
  • Ability to own delivery end to end and work through ambiguity independently
  • Clear communication skills and ability to document decisions and explain trade-offs to non-technical stakeholders
  • Experience with Spark, streaming, or large-scale distributed processing
  • AWS or equivalent cloud experience and infrastructure as code such as Terraform
  • Experience with 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
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The Company
HQ: Sham Chun Hu
220 Employees
Year Founded: 2002

What We Do

ZURU is a disruptive and award-winning company that designs, manufactures and markets innovative toys and consumer products. Inspired by kids and imaginative play, ZURU is one of the fastest growing toy companies in the world and is known for their agility, creativity and new-age manufacturing techniques. The company that started in New Zealand now employs more than 5,000 staff across 18 offices, produces 600,000 toys a day and distributes to most major retailers in over 120 countries. ZURU has delighted millions of families all over the world with brands such as Bunch O Balloons™, X-Shot™, Rainbocorns™, Robo Alive™, Smashers™, 5 Surprise™ and Metal Machines™ as well as through partnerships with entertainment properties, including Nickelodeon, Disney, Universal Studios and DreamWorks. With a strong commitment to the community, ZURU supports Captivating International, local China orphanages and also student development programs in Asia and in New Zealand. ZURU will continue to pave new ways for kids to play and focuses on reimagining what this looks like every day.

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