About us
We are a leading financial services provider, serving millions of customers across Australia and New Zealand. Our mission is to improve the financial wellbeing and sustainability of our customers by harnessing technology and data.
Job Role
As an Data Engineer in Finance Systems, you will design, build, test and support applications and/or underlying infrastructure. You will work closely with team members to ensure outcomes meet customer expectations and build capability in your team.
A key element of this role is driving the engineering agenda, ensuring delivery of best practice end-to-end engineering respecting architecture standards. You will challenge inefficient engineering/solution development practice and influence change in your field to drive better business outcomes.
In this role, you will implement smart and relevant engineering/solution development to drive E2E application delivery and support while linking in to the wider roadmap supporting data, analytics and automation.
* Design and build solutions that meet user/customer needs
* Ability to build and maintain inclusive relationships with internal and external stakeholders and influence/negotiate change
* Make sound and timely decisions and re-prioritising work in response to customer needs
* Ability to challenge yourself and the business on the value that will be delivered to customers
* Work in collaborative and inclusive teams to build innovative solutions and help guide and support less experienced team members
* Proactive in learning and taking on additional tasks & analysis to assist in the achievement of team goals
* Design and deliver solution on a variety of technologies that meet user needs
* Strong understanding of the underlying technologies and the skill to build sustainable engineering/solution development disciplines within your team
* Understanding of solution development lifecycles and relevant delivery controls
* Identify, monitor and manage risks, issues and dependencies, agreeing appropriate risk responses
To grow and be successful in this role, you will ideally bring the following:
* Hands on experience with Cloud Platforms – GCP (preferred)
* Prior experience in designing and building data pipelines from data ingestion to consumption within a hybrid big data architecture, using Cloud Native products, DBT, Apache Airflow, SQL etc.
* Have worked in data warehousing Project and ETL tool
* Strong Experience in programming languages such as Python
* Ability to optimise data flows by building robust, fault-tolerant data pipeline that cleans, transforms, and aggregates data into databases or data sources
You're not expected to have 100% of these skills. At ANZ, a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we'd love to hear from you.