Data Engineer
at ANZ Banking Group
Melbourne, Victoria, Australia -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 31 Aug, 2024 | Not Specified | 31 May, 2024 | N/A | Good communication skills | No | No |
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Description:
Req ID: 67463
Department: AR Strategic Delivery Australia Data
Division: Australia Retail
Location: Melbourne
About the role
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.
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.
What will your day look like
Responsibilities:
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-premise and cloud
Optimise data flows by building robust, fault-tolerant data pipeline that cleans, transforms, and aggregates unorganised and messy data into databases or data sources
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 products
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, Oracle, Cloudera, BigQuery or equivalent)
Extensive experience working within cross-functional, agile or continuous delivery teams
Strong ability to translate data insights into practical business recommendations
Understand the fundamentals of distributed computing
So, why join us?
From the moment you join ANZ, you’ll be doing meaningful work that will shape a world where people and communities thrive.
But it’s not just our customers who’ll feel your impact. You’ll feel it too. Because at ANZ, you’ll have the resources, opportunities, and support you need to take the next big step in your career.
We’re a diverse bunch at ANZ in different roles, different locations, doing different things. That’s why we have a range of flexible working arrangements, so our people can “make work, work for them”. We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more.
At ANZ you’ll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated. That’s because we’re committed to building a workplace that reflects the diversity of the communities we serve. We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirement, let us know how we can provide you with additional support.
Job Posting End Date
14/06/2024, 11.59pm, (Melbourne Australia
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
BSc
Computer Science, Engineering, Mathematics, Statistics
Proficient
1
Melbourne VIC, Australia