Data Engineer — Flexible, Impactful Data Pipelines & Analytics

Reserve Bank of New Zealand; Wellington; Hybrid; NZD 100,000 - 180,000; Full time

Benefits offered by this job

Flexible working

Parental leave

Wellness package

Transport subsidy

Fitness passport

Learning & development

Social & sporting activities

Job summary

Reserve Bank of New Zealand in Wellington is seeking a data engineer to support systems and data products underpinning critical decision‑making. You will collaborate with data and technology professionals to evolve data engineering practices and maintain data collections and processing pipelines.

The role focuses on integrating new data collections, applying upgrades, and delivering curated datasets for analytics with Power BI, while leveraging Azure cloud and DevOps practices.

Qualifications

• Experienced data engineer with expertise in data modelling (normalised and dimensional).
• Proficient with SQL, dbt and end-to-end ETL/ELT processes.
• Hands-on experience in Azure cloud environments.
• Experience enabling analytics platforms and curated datasets for Power BI.
• Familiarity with Python.
• Strong DevOps knowledge including Git, CI/CD and SDLC across environments.

Responsibilities

• Provide ongoing support, maintenance and enhancement of data storage and processing systems.
• Assist in delivering two new data collections and collaborate with senior engineers.
• Implement changes, resolve defects, apply upgrades and add data to meet business needs.
• Collaborate across the Operations Group to advance data engineering practices using modern tools.

Skills

Data modelling

Python

DevOps practices

SDLC knowledge

Tools

dbt

Snowflake

Azure

Power BI

Git

CI/CD pipelines

Job description

Reserve Bank of New Zealand in Wellington is seeking a data engineer to support systems and data products underpinning critical decision‑making. You will collaborate with data and technology professionals to evolve data engineering practices and maintain data collections and processing pipelines.

The role focuses on integrating new data collections, applying upgrades, and delivering curated datasets for analytics with Power BI, while leveraging Azure cloud and DevOps practices.