Data Lifecycle Engineer

Bank of New Zealand; Auckland; Hybrid; NZD 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work arrangement

Career development opportunity

Wellbeing support

Job summary

Bank of New Zealand is seeking a Data Lifecycle Engineer in Auckland. The role focuses on end-to-end data lifecycles, data lineage, and automated change detection to protect data assets and regulatory outcomes.

You will translate changes into clear technical requirements for source-system teams and data engineers, while working in a hybrid, office-plus-flexible environment.

Qualifications

• Proficient in SQL and data analysis with strong lineage awareness.
• Experience translating data changes into technical requirements.
• Able to work across end-to-end data lifecycle and regulatory reporting.

Responsibilities

• Investigating source-system changes across releases and tracing impact end to end.
• Translating analysis into actionable technical requirements for data teams.
• Explaining changes to regulatory/reporting owners and stakeholders.
• Developing automated approaches for metadata discovery and change detection.
• Investigating data quality, reconciliation and integration issues to prevent recurrence.
• Supporting migration and decommissioning by identifying data dependencies.

Skills

SQL

Data analysis

Data lineage

Metadata

Change detection

Communication

Tools

Schema comparison

Data governance tools

Job description

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

At BNZ, we're committed to building trusted, high‑quality data that supports our customers, regulators, and stakeholders to make confident decisions. Our team plays a critical role in enabling this - working closely with program delivery teams to manage data risk, ensure continuity, and unlock value across the data lifecycle.

We're looking for a Data Lifecycle Engineer to join our team and help provide early visibility of data impacts across change, delivery, and platform evolution.

Mō te Tūranga | About the Role

As a Data Lifecycle Engineer, you'll work across the end-to-end data lifecycle, understanding how changes in our source systems flow through data platforms and ultimately impact data assets, reporting and regulatory outcomes.

You'll proactively investigate changes to applications, data models, attributes and interfaces, identify their downstream impacts, and translate them into clear technical requirements for source‑system teams, data engineers and data consumers. A key part of the role is finding smarter, more automated ways to spot change and understand lineage and dependencies, so we manage data impacts early rather than discovering them late in delivery.

This is a full-time 2-year fixed term opportunity based in Auckland. This is a hybrid role with three days in the office and two days where you can work flexibly.

What are the day to day tasks the person in this role will complete?

• Investigating source‑system changes across releases and initiatives, and tracing their impact end to end, from source systems through ingestion, transformation and data assets to downstream reports, regulatory submissions, Critical Data Elements and business consumers.
• Translating analysis into clear, actionable technical requirements for source‑system developers, data engineers and downstream owners, including source‑to‑target mappings, definitions, transformation expectations, reconciliation requirements and acceptance criteria.
• Working with regulatory, obligation and reporting owners to explain what is changing, why it matters, what data is affected and whether downstream processes or reports need to change.
• Developing and improving automated approaches to change detection and impact analysis, using metadata, lineage, schema comparison, code or other tooling to identify changes and dependencies earlier.
• Investigating data quality, reconciliation and integration issues, using root‑cause analysis to determine where in the lifecycle an issue originated and how it should be prevented from recurring.
• Supporting migration and decommissioning by identifying data dependencies, historical data requirements and downstream consumers before systems, interfaces or data flows are changed or retired.

What projects / work will the candidate be working on now and into the next year?

The successful candidate will be working on both short and long term data projects in the core banking area (e.g. Lending and Deposits). You will work directly with various other parts of the business to identify end to end data impacts and enable data solutions.

What is the most exciting thing about this opportunity?

This role gives you the opportunity to understand some of BNZ's most important data end to end, from the applications where data originates through to the data assets, reporting and regulatory outcomes that depend on it.

You’ll help us get ahead of change rather than discover its impact after the fact, building better visibility of lineage, dependencies and downstream impacts and finding ways to automate this over time.

You’ll have the freedom to ask questions, follow the data, solve complex problems and help shape how trusted data is built and protected across Core Banking.

What attributes will this person display to be successful in this role?

We're looking for someone with a curious and investigative mindset who enjoys understanding how systems, processes and data connect end to end. You'll be comfortable getting into technical detail while also being able to explain the implications clearly to non-technical stakeholders.

This is a hands‑on role: you'll be expected to interrogate data, validate lineage and dependencies, test assumptions and use evidence to confirm impacts rather than relying solely on documentation.

Ideally, you'll bring:

• Strong experience analysing source systems, data models, interfaces, schemas and data flows, with a working knowledge of data lineage, metadata, source‑to‑target mapping, data quality and Critical Data Elements, and how changes propagate downstream.
• Strong SQL and data analysis skills, with the ability to investigate datasets, validate assumptions, reconcile data and identify root causes.
• Experience translating source‑system or business change into clear technical requirements for data engineers, including mappings, business rules, transformations, validation and acceptance criteria. Strong communication skills to explain the same change to developers, business stakeholders and regulatory/reporting owners.
• Experience assessing impacts to downstream consumers, particularly reporting, regulatory or other critical data processes.
• Experience using or developing automation for metadata discovery, lineage, dependency analysis, schema comparison or change detection.

Please Note:

Applications for this vacancy close on 23 November.

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',

Ehara taku toa i te toa takitahi, nanging he toa takitini" - Success is not the work of an individual, but the work of many.

Applications will be reviewed regularly across the advertising period, but we do reserve the right to close applications early.