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Zuru

Designs, manufactures, and distributes toys globally

Data & AI Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeAuckland, New ZealandNo salary listed

About the Job

Requirements

  • At least 3 years of experience building and running data pipelines in production.
  • Advanced SQL, including performance tuning on large datasets.
  • Strong Python skills for pipelines, automation, and tooling, with 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 a track record of debugging and hardening pipelines that fail in production.
  • Ability to own delivery end to end and work through ambiguity without close direction.
  • Ability to document decisions and explain trade-offs to non-technical stakeholders.

Responsibilities

  • Design, build, and own production data pipelines ingesting from SAP, retail point-of-sale systems, logistics platforms, and marketing channels.
  • Lead migrations of legacy pipelines into modern, scalable architectures, including design decisions and cutover planning.
  • Model data for analytics and artificial intelligence use cases and set standards for others to 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 with commercial, marketing, and logistics stakeholders to turn ambiguous requests into well-scoped datasets.
  • Review others' work and mentor junior engineers on SQL, Python, and pipeline design.
  • Contribute to governance, documentation, platform standards, and artificial-intelligence-assisted workflows across the team.

Desired Qualifications

  • Experience with Spark, streaming, or large-scale distributed processing.
  • Experience with AWS or an equivalent cloud platform and infrastructure-as-code tools such as Terraform.
  • Experience with CI/CD for data, data contracts, or data quality frameworks.
  • Exposure to large language model or artificial-intelligence-driven data workflows.
  • Experience mentoring engineers or leading a workstream.

About the Company

Zuru

Designs, manufactures, and distributes toys globally

ZURU operates in three global sectors—toys, consumer goods, and construction technology—designing, manufacturing, and distributing products worldwide with advanced automation. In Toys, it hosts brands like Bunch O Balloons, Mini Brands, and Robo Alive and sells through major retailers in 120+ countries, with partnerships from Nickelodeon, Disney, Universal, and DreamWorks. ZURU Edge focuses on consumer brands in Baby Care, Personal Care, Beauty, Home Care, and Health & Wellness, while ZURU Tech modernizes construction to be faster and more flexible. The company differentiates itself through large-scale automation, speed from idea to market, and a disruption-driven, end-to-end approach, aiming to continually disrupt traditional markets with high-quality, affordable products and an expanding global footprint.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Yau Tsim Mong District, Hong Kong
Founded
2003

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