AddressAbout the role
At ANZ our purpose is to shape a world where people and communities thrive and to achieve this, we need a talentedData Engineer to join our Data Capability tribe. The Australia Data tribe sits within our Australia Retail & Commercial division and our mission is to combine business & technology capabilities to enable analytics, reporting & data asset development by users across ANZ’s Australia Retail & Commercial division.
As a Data Engineer in the Data Capability tribe you will be responsible for designing and creating data processing solutions that enable value from analytic models to drive rapid decision making. You will be pivotal as the engineer within the team to establish a strong data culture within the squad and ultimately set a standard for best practise where applicable.
A key element of this is driving the Data Engineering agenda within the Data Capability Tribe, ensuring delivery of best practice end-to-end Data Engineering respecting ANZ architecture standards. You will challenge inefficient engineering practise in ANZ and influence change in your field to drive better business outcomes. To this end, in the role you will implement smart and relevant Data Engineering to drive E2E application delivery and support the uplift of Data Engineering capability in Data Capability, while linking in to the wider Enterprise Analytics roadmap. You understand the power of data to generate quality customer insight, identify patterns & trends, and make decisions. You will apply your technical skills to source data, create data models as well as provide insights for business related questions when required.
What will your day look like
- Design data structures for data ingestion, integration, and analytics layers on a variety of technologies.
- Working in a cross skilled squad with people both from business and technology to build end to end features.
- Contribute to design patterns for on-premises and cloud
- Optimise data flows by building robust, fault-tolerant data pipeline that cleans, transforms, and aggregates unorganized and messy data into databases or data sources.
- Support, run, and optimise the data assets that are built
What will you bring?
- MS or BS in Computer Science, Engineering, Mathematics, Statistics, or equivalent practical experience in Data Engineering
- A strong background in data processing and software engineering and can build high quality, scalable data pipelines
- Strong Software Engineering experience with proficiency in at least one high-level programming language (Python, Java, Scala)
- Experience and proficiency in at least one high-volume data processing environment (Teradata, Cloudera, Trino/Presto, Big Query or equivalent)
- Extensive experience working within cross-functional, agile, or continuous delivery teams
- Exposure to CICD/devops to deploying the pipelines
- Strong ability to translate data insights into practical business recommendations
- Understand the fundamentals of distributed computing
So, why join us?
Our purpose is to shape a world where people and communities thrive. That's why we strive to create balanced, sustainable economy in which everyone can take part and build a better life. By helping people make the most of what they have, we transform ideas, hard work, and ambition into reality.
Career development means different things to different people. It may simply mean developing a skill, broadening your experience by moving sideways or stretching yourself by moving to a different business. How you manage and develop your career is up to you, but ANZ is committed to helping you do this by providing you with the support, tools and resources you need.
Here are some links to help you get started
- Five Pillars of Career Success
- Manage your Career
- Steps to Career Success
ANZ recognises the value of an inclusive and diverse work environment. We take pride in the diversity of our people and encourage applications from diverse candidates. Our recruitment decisions are based on the key inherent needs and requirements of each role, and candidates are selected based on their unique strengths and characteristics. We work flexibly at ANZ. Talk to us and let us know how this role can be flexible for you.
Job Posting End Date
21/05/2024, 11.59pm, (Melbourne Australia)
