About the role: 

At ANZ our purpose is to shape a world where people and communities thrive and to achieve this, we need a talented Lead Engineer to join our Data Delivery team. 

As a Lead Engineer you’ll not only be joining a great team – you’ll be joining a large community of Data professionals, with the scale and ambition to keep growing. And right now, our Data community is on an exciting journey. Harnessing the power of Data is a strategic priority across the bank, which is why we have a roadmap in place to make us New Zealand’s leading Data driven organisation. There’s a constant drive to push the boundaries of how data and analytics are applied – we’re serious about letting our data professionals use their skills to deliver meaningful impact. Being part of ANZ means playing a part in this change and shaping the future of data at the bank – which means lots of opportunity to broaden your skill set and progress your data career.

Responsibilities: 

  • Be a Lead Engineer within the Data Delivery.  This will include Data Warehousing, ETL platforms and other data provisioning solutions.
  • Collaborate closely with other Lead Engineers, Platform Leads, Architecture, Scrum teams and other stakeholders to ensure solutions meet customer expectations.
  • Manage the lifecycle of the platforms, ensuring they remain fit for purpose, well-supported, and stable.
  • Work closely with the architecture team to ensure solutions align with the architectural strategy.
  • Nurture a growth mindset and curiosity within our teams.
  • Ensure all elements of the solutions are operationally and economically viable.
  • Embed clear technical governance and quality assurance standards.
  • Identify, lead and implement continuous improvement through automation, DevOps and agile ways of working.
  • Actively research industry trends, standards and strategy, offering technical insights and direction.

Candidate requirements:

  • Ideally you will be someone who has an understanding of continuous integration and continuous deployment of Data Applications.
  • Have been in a technical leadership role.
  • Technically proficient in data solutions and data management processes.
  • Have sound experience in a complex, multi-system product development.
  • Technically led agile teams and experience in embedding a collaborative culture of continuous improvement.
  • Extensive experience in design and development within leadership roles.
  • Have navigated complex multi-factorial scenarios in both known and unknown technologies.
  • Up-hold a growth mind-set and ethos.

 

 

Job Overview
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