Senior Data Engineer at Bank of New Zealand

, , New Zealand -

Full Time

Start Date

Immediate

Expiry Date

16 Dec, 25

Salary

0.0

Posted On

17 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Data Engineering, SQL, Python, Cloud Environments, Snowflake, Airflow, Jenkins, Communication Skills, Leadership, Systems Thinking, Collaboration, Continuous Improvement

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. We have the opportunity for an experienced Senior Data Engineer to join our Financial Crime domain within BNZ Technology. Mō te Tūranga | About the Role We sat down with our Engineering Lead, and they let us know the following about the role. What are 5 day to day tasks the person in this role will complete? Lead the team in design review, peer review deployment of robust data pipelines for efficient data processing and integration. Utilize SQL, Python, Snowflake, and cloud platforms to optimize data workflows and storage strategies. Review the implementation of data pipelines using Airflow and Jenkins, ensuring reliability and scalability. Analyse complex datasets to support business intelligence, reporting, and predictive analytics. Work closely with external vendors to align data engineering solutions with project goals and ensure seamless integration. What is the most exciting thing about this opportunity? You will be building and maintaining data applications in the financial crime domain. That means your work will directly help keep everyday kiwis safe and keep the bank compliant with regulations. You will also be the technical lead within the team to help with code reviews and best practices. What do we want you to know before you apply? The majority of the team is based offshore. This does mean team meetings and standups are usually in the afternoon due to timezone differences. What will success look like for the candidate in this role? We are looking for someone who is not afraid to step up and lead the team on all things technical. Someone who can be the voice for best engineering practices and is capable of taking ownership across a wide range of data products and workflows. What is your favourite thing about working for BNZ? BNZ stood out to me with its friendly and supportive environment, you can always find someone who will go out of their way to help. There is also great career development pathways with endless opportunities, you will never feel stuck doing repetitive work. What technical skills / skills are REQUIRED for this role? At least 7 years of experience in data analysis and engineering Proficiency in SQL, Python, and hands-on experience with cloud environments, Snowflake, Airflow, and Jenkins. Strong communication skills and the ability to collaborate and lead external vendors to drive successful delivery. Understanding and experienced at peer reviewing pull requests for Snowflake, Airflow, and Application code (e.g. Scala or java based languages) Design components which are within the BNZ best practice What attributes will this person display in order to be successful in this role? Context Switching: Ability to switch context effectively as we have a large number of data products we support Leadership and Influence: Ability to guide technical decisions, mentor others, and support a high-performing engineering culture. Systems Thinking: Awareness of how individual components contribute to broader business goals and system architecture. Proactive Collaboration: Skilled at building strong relationships across disciplines and working toward shared outcomes. Continuous Improvement Focus: Commitment to raising the bar in quality, efficiency, and team capability. Nau Mai ki te Pēke o Aotearoa | Come to the Bank of New Zealand Please note applications close Tuesday 30 September 2025. 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: 30 September 2025 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 Senior Data Engineer will lead the design and deployment of data pipelines, ensuring efficient data processing and integration. They will also analyze complex datasets to support business intelligence and work closely with external vendors for seamless integration.