Senior Data Engineer: Databricks on Azure Platform Lead

Marketplace

Hamilton

Hybrid

NZD 120,000 - 180,000

Full time

3 days ago
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Job summary

The University of Waikato in Hamilton is seeking a Senior Data Engineer to build and operate our new enterprise data platform on Azure Databricks. You will design production data pipelines, manage data ingestion, and lead complex integration and migration projects.

You will mentor engineers, apply modern data engineering practices, and contribute to security, testing and governance. This full-time role offers collaboration across ITS and the wider university to enable analytics and AI

Qualifications

  • 5+ years of data engineering experience building production cloud data pipelines.
  • Strong SQL and Python skills with incremental ingestion and CDC.
  • Experience with DataOps, Git, CI/CD, automated testing and secure data solutions.
  • Experience with modern cloud data platforms such as Databricks, Snowflake or Fabric; data modeling and complex integration.
  • Proven mentoring skills and openness to AI-assisted development tools.

Responsibilities

  • Design, build and operate production data pipelines that ingest data from source systems into the enterprise platform.
  • Lead complex data integration and migration efforts including legacy warehouse modernization.
  • Mentor and coach engineers; promote best practices and peer review.
  • Collaborate with stakeholders across ITS and the wider university to ensure secure, scalable data solutions.

Skills

SQL
Python
DataOps
Databricks
Cloud platforms
Data modeling
Mentoring

Education

Bachelor's degree in CS/IT/Engineering or related field

Tools

Databricks
Snowflake
Microsoft Fabric

Job description

The University of Waikato in Hamilton is seeking a Senior Data Engineer to build and operate our new enterprise data platform on Azure Databricks. You will design production data pipelines, manage data ingestion, and lead complex integration and migration projects.

You will mentor engineers, apply modern data engineering practices, and contribute to security, testing and governance. This full-time role offers collaboration across ITS and the wider university to enable analytics and AI

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