Junior Data & AI Engineer: Build Global Data Pipelines

ZURU

Auckland

On-site

NZD 65,000 - 90,000

Full time

21 hours ago
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Benefits offered by this job

Culture for Growth
Global Opportunities
Surrounded by an A Player Team

Job summary

ZURU is seeking a Junior Data and AI Engineer to design and maintain data pipelines powering decisions across global operations. You’ll work with Databricks, dbt, Fivetran and AWS in a hands-on role with ownership from day one.

You will help enable data-driven decisions across commercial, marketing, and logistics teams by building reliable datasets, improving data quality, and supporting scalable platform infrastructure.

Qualifications

  • Hands-on experience with SQL and Python for data workflows.
  • Ability to build and maintain robust data pipelines.
  • Understanding of data quality, governance and scalability.

Responsibilities

  • Build and maintain data pipelines ingesting data from SAP, retail POS systems, logistics platforms, and marketing channels
  • Migrate legacy pipelines into scalable, maintainable modern data architectures
  • Monitor and improve data quality, identifying issues before they impact the business
  • Support and enhance data platform infrastructure and tooling
  • Collaborate with cross‑functional teams to deliver reliable datasets and insights
  • Contribute to end‑to‑end data workflows including ingestion, transformation, and governance
  • Document processes, pipelines, and learnings clearly
  • Continuously improve workflows using automation and AI tools

Skills

SQL proficiency
Python scripting
Data pipelines
Learning agility
Communication

Tools

Databricks
dbt
Fivetran
AWS

Job description

ZURU is seeking a Junior Data and AI Engineer to design and maintain data pipelines powering decisions across global operations. You’ll work with Databricks, dbt, Fivetran and AWS in a hands-on role with ownership from day one.

You will help enable data-driven decisions across commercial, marketing, and logistics teams by building reliable datasets, improving data quality, and supporting scalable platform infrastructure.

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