Senior Data Engineer: AI-Driven Data Platforms

Westpac New Zealand

Wellington

On-site

NZD 120,000 - 180,000

Full time

4 hours ago
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Benefits offered by this job

4 weeks holiday
Wellbeing leave
Purchased leave
Banking benefits
Development opportunities
Volunteer days

Job summary

Westpac New Zealand is seeking a Senior Data Engineer to blend hands-on software engineering with technical leadership and AI-driven innovation. The role splits roughly 60% hands-on development, 20% AI tooling, 20% leadership across engineering standards and mentoring.

You’ll design and deliver scalable data services, modern data engineering frameworks, and secure AI-enabled solutions, uplifting capability across the team while partnering with stakeholders to translate complex requirements into

Qualifications

  • 5+ years' experience in Data, Software or Platform Engineering.
  • 3+ years on cloud-based data platforms.
  • Strong Python and SQL skills; Snowflake experience.
  • Experience delivering end-to-end production data solutions.
  • CI/CD, DevSecOps and automated testing experience.
  • Ability to mentor and coach engineering teams.
  • Experience with AI-enabled data services and APIs.
  • Familiarity with AI tools like GitHub Copilot.

Responsibilities

  • Design and deliver scalable data services and modern engineering frameworks.
  • Lead AI-enabled data projects and uplift engineering capability.
  • Mentor and coach engineers; promote best practices.
  • Collaborate with stakeholders to communicate technical decisions.
  • Ensure security, privacy and AI risk management throughout delivery.

Skills

Data engineering
Cloud data platforms
Python
SQL
CI/CD practices
DevSecOps
Technical leadership
AI-enabled data services
GitHub Copilot
Architecture design

Tools

Snowflake
APIs
GitHub Copilot
dbt
Airflow
Spark
Kafka
Terraform
Azure
TypeScript/React

Job description

Westpac New Zealand is seeking a Senior Data Engineer to blend hands-on software engineering with technical leadership and AI-driven innovation. The role splits roughly 60% hands-on development, 20% AI tooling, 20% leadership across engineering standards and mentoring.

You’ll design and deliver scalable data services, modern data engineering frameworks, and secure AI-enabled solutions, uplifting capability across the team while partnering with stakeholders to translate complex requirements into

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