Cloud Data Engineer

2 weeks ago

Brisbane, Queensland, Australia ANZ Full time

About Us

At ANZ, we're harnessing technology and data to drive financial wellbeing and sustainability for our millions of customers.

Our community of over 5,000 engineers is key to making this happen, as 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 Role

As a Cloud Data Engineer in our EDAE tech area, you will play a crucial role 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.

Our customers are at the heart of everything we do, and we're committed to delivering innovative solutions that meet their evolving needs. As a Cloud Data Engineer, you will have the opportunity to work on complex engineering problems and collaborate effectively within and across teams, tech areas, and domains.

Key Responsibilities

  • 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 We're Looking For

To succeed 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.

We're looking for individuals who are passionate about technology and data, and who are committed to delivering innovative solutions that meet the evolving needs of our customers. If you have most of these skills and a growth mindset, we'd love to hear from you.

Why Join Us

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, and we welcome applications from everyone. We're committed to building a workplace that reflects the diversity of the communities we serve, and we encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself.

To find out more about working at ANZ, visit https://www.anz.com.au/careers. You can apply for this role by visiting ANZ Careers and searching for the job title.

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