Senior Data Engineer - Data Platforms & Flexible Work

Bank of New Zealand; Wellington; On-site; NZD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible working

Generous leave

Wellbeing programs

Job summary

Bank of New Zealand is seeking a Senior Data Engineer in Wellington to lead the design, delivery, and continuous improvement of data products powering insights across BNZ. You will combine deep data engineering expertise with strong technical leadership to deliver stable, scalable, secure and compliant solutions.

You will work across data warehousing, mainframe and cloud technologies, guiding the team's technical direction and engineering practices, while mentoring engineers and partnering with

Qualifications

• Proficiency in SQL and mainframe technologies, including JCL and SAS.
• Essential experience with data warehouse tools and practices.
• Desirable Snowflake, Python and Airflow experience.

Responsibilities

• Gather and understand data requirements, constraints and source-system limitations.
• Explore raw and conformed data, transform data into reliable products and reports.
• Produce high-value technical documentation that captures the approach and supports stakeholder sign-off.
• Perform rigorous unit testing and assist with system testing as required.
• Complete code peer reviews, mentor engineers and promote strong engineering practice.
• Drive operational excellence by improving platform stability, scalability, security and compliance.
• Use AI-powered development tools to improve delivery and quality; adopt them thoughtfully as part of modern engineering practice.
• Work closely with stakeholders and cross-functional teams to align delivery with customer needs and BNZ's strategic goals.

Skills

SQL

Mainframe (JCL)

SAS

Data warehousing

Tools

Snowflake

Python

Airflow

Job description

Bank of New Zealand is seeking a Senior Data Engineer in Wellington to lead the design, delivery, and continuous improvement of data products powering insights across BNZ. You will combine deep data engineering expertise with strong technical leadership to deliver stable, scalable, secure and compliant solutions.

You will work across data warehousing, mainframe and cloud technologies, guiding the team's technical direction and engineering practices, while mentoring engineers and partnering with