1 month ago
Auckland, New ZealandEntry Level
Responsibilities
- Build and maintain data pipelines ingesting data from SAP, retail POS systems, logistics platforms, and marketing channels.
- Migrate legacy pipelines to scalable and maintainable modern data architectures.
- Monitor and improve data quality and identify issues before they affect the business.
- Support and enhance data platform infrastructure and tooling.
- Collaborate with cross-functional teams to deliver reliable datasets and insights.
- Contribute to ingestion, transformation, and governance workflows.
- Document processes, pipelines, and learnings.
- Improve workflows through automation and AI tools.
Requirements
- Strong SQL skills, including joins, window functions, and common table expressions.
- Experience using Python for scripts, pipelines, or automation.
- Understanding of data pipelines and common failure points.
- Ability to learn quickly, solve problems, and work with ambiguity.
- Strong communication skills, including asking questions and documenting solutions.
- Bonus experience with dbt, Spark, or cloud data platforms such as Databricks, Snowflake, BigQuery, or Redshift.
- Bonus exposure to AWS or similar cloud environments.
- Bonus end-to-end data project experience from academic, personal, or professional work.
Benefits
- Culture focused on growth and continuous improvement.
- Global opportunities.
- Opportunity to work with a high-performing team.
- The role offers hands-on ownership and exposure to production-grade data systems.
- ZURU may use AI tools to help screen, assess, or select applicants.
Tech Stack
Categories
Data Engineering
About ZURU
ZURU is a privately held manufacturer headquartered in Hong Kong and founded in 2003, spanning ZURU Toys, ZURU Edge (consumer goods), and ZURU Tech (construction technology). It sells toy brands such as Bunch O Balloons and X-Shot through major retailers in over 120 countries and licenses IP from studios including Disney and Nickelodeon. ZURU Tech builds BIM software that connects directly to automated production for construction components.