Data Lifecycle Engineer

Bank of New Zealand

Remote

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 sit at the intersection of delivery, data management, and risk. Your role is to proactively identify, assess, and coordinate data impacts across releases, initiatives, and system changes — ensuring downstream reporting, regulatory, and business data needs are protected.

You’ll act as the day‑to‑day data impact coordination point across delivery teams, data stewards, risk, compliance, and analytics — helping reduce fragmentation, avoid surprises, and enable confident release decisions.

This is a full-time, 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.

We sat down with our Head of Data – Core Banking (Who you’ll report to), and they let us know the following about the role.

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

  • Performing release by release data impact analysis across initiatives by reviewing changes to source systems, data models, attributes and integrations.
  • Identifying impacts to downstream reports, regulatory submissions, Critical Data Elements (CDEs) and data products.
  • Engaging with upstream and downstream process owners to confirm data requirements, acceptance criteria and dependencies.
  • Supporting investigation of data quality issues, reconciliation defects, and integration failures, including root-cause analysis and coordination of remediation and testing.
  • Supporting legacy system decommissioning and platform migrations by identifying data dependencies and ensuring reporting and regulatory continuity.
  • The primary data contact for delivery teams – coordinating across governance, risk, compliance and analytics to create a single trusted view of data impacts.

What is the team culture and environment like?

The team is made up of experienced data experts and engineers at all levels of experience who regularly share their recent projects, learnings and tips and tricks.

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 subject area (e.g. Lending, Products and Transactions), working directly with various 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 sits right where strategy meets delivery. As a Data Lifecycle Engineer, you’ll have a front‑row seat to major initiatives, platform changes, and regulatory outcomes — with the opportunity to influence how data is designed, protected, and consumed end‑to‑end.

You’ll work closely with delivery teams to surface data impacts early, reduce surprises at release time, and help the organisation make confident decisions during change. It’s a unique chance to build deep domain knowledge, shape how data risk is managed in practice, and make a tangible impact on some of BNZ’s most critical data assets.

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

We are looking for someone with curiosity and a love of data, combined with a passion for understanding end to end data lifecycle from design and ingestion through to remediation and decommissioning, along with:

  • Solid experience working with data in complex environments, applying practices such as data quality, lineage, metadata and Critical Data Elements in a day-to-day delivery.
  • Strong ability to analyse how changes to systems, data models and integration impact downstream data consumers.
  • Experience clearly documenting data impacts, mitigations, residual risks by working with a wide range of technical and business stakeholders.

Nau Mai ki te Pēke o Aotearoa | Come to the Bank of New Zealand

Please Note: Applications for this vacancy close on Thursday 4 June 2026. We review applications as they are received and may close advertising early.

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