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Staff Data Engineer

2 weeks ago

Sydney, New South Wales, Australia Commonwealth Bank Full time $150,000 - $200,000 per year

Staff Data Engineer – NextGen AI Automation

  • We are a growing team within the bank and constantly involved in industry changing solutions

  • You are highly experienced in building customer focussed solutions, with determination to stay ahead of the latest Big Data, AWS Data, Analytics, and AI services

  • Together we can place customers at the centre of what we do

Do work that matters:

We're building tomorrow's bank today, which means we need creative and diverse engineers to help us redefine what customers expect from a bank. Envisioning new technologies that are still waiting to be invented and reimagining products that support our customers and help build a brighter future for Australia. Here, you'll get to turn your passion into reality, working with new technology on state-of-the-art initiatives to enable a seamless and unrivalled customer experience.

See yourself in our team:

Our mission is to drive innovation and excellence in AI automation, leveraging cutting-edge technologies to create solutions that enhance efficiency, productivity, and customer satisfaction. We are committed to fostering a culture of continuous learning, collaboration, and experimentation, ensuring that we remain at the forefront of technological advancements. Incorporating Agentic AI and Generative AI into our mission, we aim to develop and deploy intelligent agents that can autonomously handle complex tasks, streamline processes, and provide valuable insights to our stakeholders. By integrating these advanced AI technologies, we strive to create a seamless and efficient workflow where AI agents work alongside our engineers and data scientists to deliver high-quality, scalable solutions. Our goal is to harness the power of AI and Gen AI to improve our existing processes, enhance decision-making, and drive innovation across all to help our customers.

This role will focus on integrating the data into process, and work with data scientist and our engineering team.

We are interested in hearing from people who:

  • Are comfortable working across the full lifecycle of agile projects (ideation through implementation).

  • Are happy working as an individual contributor that pushes our analytics platforms forward, delivering increasing levels of self-service, automation, and reduced operational risk.

  • Have an excellent understanding of data structures including time variant and dimensional models, algorithms, operating systems, and/or distributed systems.

  • Have experience building and managing stateful stream processing pipelines, including checkpointing and state backends.

  • Bring a strong understanding of distributed systems.

  • Provide excellent problem-solving skills with a focus on performance optimization and reliability.

  • Have experience in the design and implementation of data platforms at the Enterprise level.

  • Have an excellent understanding of Data Mesh/Data Lake and data product concepts​.

  • Have a strong focus on understanding requirements and designing composable end-to-end solutions.

  • Have a strong understanding of cloud security framework.

  • Have a strong understanding of AI and Gen AI.

  • Have a strong understanding of Data Sampling mechanism on AI Automation.

  • Exposure of Large Language Model (LLM) and related to technologies.

Tech Skills:

We use a broad range of tools, languages, and frameworks. We don't expect you to know them all but having significant experience and exposure with some of these (or equivalents) will set you up for success in this team.

  • AWS compute, storage, analytics and metadata services (Datazone/Sagemaker Unified Studio is desirable).

  • ANSI/ISO SQL, backend coding expertise in Java or Python.

  • Hadoop platform, using Spark, TCF, and various ETL frameworks.

  • Data warehouses such as Redshift, Teradata, Snowflake, Oracle.

  • Realtime streaming technologies, Kafka and Flink is desirable.

Preferred Qualifications:

  • AWS Certified Data Engineer – Associate.

  • AWS Certified Machine Learning – Specialty.

What's in it for you?

We're a truly friendly and collaborative environment, where innovation is fostered, and individual contributions are celebrated. Aside from the wonderful impact this role brings to the lives of many, you can also look forward to:

  • Competitive remuneration, bonus, employee discounts, and benefits.

  • Hybrid work model.

  • Access to world-class technologies, tools, and platforms.

  • Limitless learning and development opportunities.

Working with us: 

Whether you're passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you.   

Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with flexible work locations. One where we're driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our every day.  

Here, you'll thrive. You'll be supported when faced with challenges and empowered to tackle new opportunities. We're hiring engineers from across all of our technology hubs in Sydney, Melbourne and Perth. We really love working here, and we think you will too.   

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We're keen to support you with the next step in your career.

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Advertising End Date: 30/08/2025