Senior Data Platform Engineer — Lead Data & AI Pipelines

NZ Transport Agency Waka Kotahi

Auckland

On-site

NZD 134,000 - 163,000

Full time

7 hours ago
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Benefits offered by this job

Competitive salary
5 weeks annual leave
Flexible working arrangements
Life insurance
Income protection
Critical Illness insurance

Job summary

NZ Transport Agency Waka Kotahi (NZTA) is seeking a Senior Data Engineer to lead complex delivery initiatives within the Data Chapter, shaping enterprise data platforms, pipelines and products to support analytics and AI across the organisation.

You will balance hands-on delivery with technical leadership, mentor engineers, and collaborate across squads to establish engineering practices that are scalable, secure and reliable, while contributing to capability development in the Data Community of

Qualifications

  • Extensive experience designing and operating enterprise-scale data platforms and pipelines.
  • Advanced SQL and Python skills with Databricks experience.
  • Experience with cloud-based data platforms and Lakehouse patterns.
  • Ability to influence stakeholders and work across squads.
  • Strong data governance, privacy, security and compliance understanding.

Responsibilities

  • Lead the design and delivery of enterprise data solutions for analytics and AI.
  • Shape NZTA's modern data platform and engineering practices.
  • Coach and mentor data engineers while elevating engineering excellence.
  • Design and deliver modern data products and pipelines across squads and programmes.

Skills

SQL
Python
Databricks
Data platforms
Cloud platforms
Data governance
DataOps
Observability
Mentoring
Communication

Job description

NZ Transport Agency Waka Kotahi (NZTA) is seeking a Senior Data Engineer to lead complex delivery initiatives within the Data Chapter, shaping enterprise data platforms, pipelines and products to support analytics and AI across the organisation.

You will balance hands-on delivery with technical leadership, mentor engineers, and collaborate across squads to establish engineering practices that are scalable, secure and reliable, while contributing to capability development in the Data Community of

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