Department: Tech CDIS Cloud, Data and Analytics
Division: Technology
Location: Brisbane
About UsAt ANZ, we're applying new ways technology and data can be harnessed as we work towards a common goal: to improve the financial wellbeing and sustainability of our millions of customers.
Our community of over 5,000 engineers is key to making this happen, because technology underpins every part of our business - from delivering tools, apps and services for our customers, to building a bank for the future.
About the RoleAs a Cloud Data Engineer in our EDAE tech area, you will be instrumental in establishing our central data mesh platform within a federated architecture. You will leverage existing integration technologies to source data from divisional operational systems to their respective data nodes in a strategic, cost-effective, and scalable manner within a hybrid cloud landscape. Additionally, you may have to handle legacy data formats and integrate data from legacy systems such as mainframes.
Role Type: PermanentRole Location: BrisbaneWork Hours: Full Time (Hybrid) What will your day look like?Design, build, test, and support secure, robust, and scalable sourcing tools that are agnostic of sources and sinks/targets.Solve ambiguous and complex engineering problems.Collaborate effectively within and across teams, tech areas, and domains.Utilize tools and practices to build, verify, and deploy solutions efficiently, with a strong emphasis on software fundamentals.Foster a culture within the Tribe and Chapter that encourages best practices in reviews, quality, and documentation.Provide ongoing support for platforms as needed, including problem and incident management.Actively participate in platform release activities, including quality review and deployment of changes.What will you bring?To grow and be successful in this role, you will ideally bring the following:
Couple of years of experience building modern data pipelines/platforms using GCP services such as Cloud Build, Dataflow, Cloud Functions, Composer, Logging, GCS, BigQuery, and IAM, or equivalent experience in AWS.Primary proficiency in Python, with experience in a secondary language such as Golang or Java.Familiarity with CDC technologies like Kafka Connect, Fivetran, and Debezium.Familiarity with cloud-native data engineering tools/services such as Dataflow and Dataproc.Hands-on experience with Docker and containerization technologies.Experience with data warehouse solutions, preferably in a cloud environment.Strong emphasis on code and configuration management, CI/CD automation, and automated testing.Experience delivering solutions in a complex enterprise environment.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.
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.
To find out more about working at ANZ, visit careers. You can apply for this role by visiting ANZ Careers and searching for reference number 74801.
Job Posting End Date #J-18808-Ljbffr