Data Ops Engineer at Bank of New Zealand

Auckland, Auckland, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

0.0

Posted On

18 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Automation, Infrastructure as Code, Infrastructure, Upgrades, Patching, Security, Continuous Integration, Continuous Deployment, IT Operations, Metrics, Data Pipelines, Data Analysis, Data Mining, DevOps, Scripting, SQL

Industry

Banking

Description

Worker Type: Permanent Here at BNZ, it's about more than just banking. We work together in an agile, energising environment to create innovative solutions through our promise "If you can imagine a better future, let's find a way." We support wellbeing, flexible working and have a generous leave offering. There is the opportunity for growth, learning and career development. No two days are the same. Ko mātou tēnei | This is Us The Data Ops Engineer will contribute to the implementation of automation initiatives, work with existing software applications and their operating environments and assist in the management of data orchestration tools such as Airflow. Mō te Tūranga | About the Role The successful candidate will be expected to: Perform hands on automation tasks to treat infrastructure as code. Provide execution of activities related to infrastructure, upgrades and patching, security, continuous integration, continuous deployment, IT operations and metrics Build and develop moderate volume/complexity data pipelines into a production environment. Interactively analyse and manipulates data using a variety of data analysis and data mining assets that would support this evaluation. What attributes will this person display to be successful in this role? We are looking for someone with a minimum of five years of experience working as a DevOps Engineer/ Data Engineer including some of the following: Proven experience with build and development tools and CI/CD pipelines. Experience with automating manual processes using scripting (Bash, Python etc.) Experience with variety of programming and scripting languages (.Net, Java, SQL) Experience or interest in SQL on Massively Parallel Processing (MPP) relational databases (Snowflake) Experience working in DevOps and Agile environments, as well as continuous integration tools (Bitbucket, Github, ADO, Octopus). What is the team culture and environment like? In the wider team (Data and Analytics Platforms) we foster an open, flexible and inclusive environment that supports collaboration within the immediate team and across the teams in the wider Technology organisation. Nau Mai ki te Pēke o Aotearoa | Come to the Bank of New Zealand This is an exciting opportunity to join us! We're bold thinkers who are taking brave steps to create a company that people want to work for, and customers want to bank with. If you're ready to join a fun organisation where we are proud of our culture and how we are helping New Zealander's to 'Find their way', then show your interest by submitting your application - we can't wait to read it. Ehara taku toa i te toa takitahi, engari he toa takitini" - Success is not the work of an individual, but the work of many.” Closing Date: 04 March 2026 Applications will be reviewed regularly across the advertising period, but we do reserve the right to close applications early. Welcome to BNZ Careers! We are excited for you to apply for a role with us. We're the bank for New Zealand. Our purpose is to serve customers well and help our communities prosper. Every day we find ways for our customers, our people, and our communities to thrive through strong values, diverse teams, and great people - just like you.

Responsibilities

The Data Ops Engineer will implement automation initiatives, manage existing software applications and operating environments, and assist with data orchestration tools like Airflow. Key tasks include performing hands-on automation to treat infrastructure as code and building moderate volume/complexity data pipelines into production.