Staff/Lead Data Engineer (AWS & AI) at Commonwealth Bank

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, AWS, AI, Python, SQL, ETL Development, Oracle, Data Warehousing, Data Lakes, Data Architecture, Data Profiling, Data Quality, Large Scale Data Processing, Code Quality Control, Coaching, Machine Learning

Industry

Financial Services

Description

Staff Data Engineer (AWS & AI) You are passionate to stay ahead of the latest AWS Cloud, and Data Lake technologies We're one of the largest and most advanced Data Engineering teams in the country Together we can build state-of-the-art data solutions that power seamless experiences for millions of customers Do work that matters: As a Staff Data engineer with expertise in data engineering, software development / programming and a passion for building data-driven solutions, you’re ahead of trends and work at the forefront of AWS Cloud, AI, and Data warehouse technologies. Which is why we’re the perfect fit for you. Here, you’ll be part of a team of engineers going above and beyond to improve the standard of digital banking. Using the latest tech to solve our customers’ most complex data-centric problems. See yourself in our team: The Data Provisioning and Enrichment team provides data delivery, insights and software delivery outcomes to support Finance Risk and Treasury businesses. We support the Group’s strategy of building tomorrow’s bank today for our customers, through a focus on three key priorities of trust, resilience and capital generation. You will be a part of the Data Provisioning and Enrichment Crew, which is responsible for: Design and deliver an integrated Corporate Services data platform providing a single source of truth for timely and accurate data. Delivery Risk Treasury Finance Data Platform outcomes; and Overseeing the delivery of all data outcomes to support Finance Risk and Treasury. We are interested in hearing from people who: Have built or worked on building out data warehouses or data lakes Are proficient in languages such as Python and SQL ETL Development: Design, Develop and implement ETL processes using Ab Initio (not mandatory) In-depth knowledge of Oracle In-depth knowledge of AWS services, especially related to data storage and processing such as S3, RDS, Redshift and Glue Knowledge of data architectures such as data vault 2.0 Are familiar with the full software development lifecycle with a focus on data ingestion process, data transformation pipelines, data integration and visualisation Understand data profiling, basics of numerical statistics and data quality calculations Has experience in handling large-scale data processing and analytics Can provide code quality control through peer programming, code review and automated pipeline release management Can coach junior engineers, share knowledge to uplift and improve software development practices Core Capabilities: ETL and DataLake experience AI Integration in Data Engineering: Understanding how AI can be used to solve real-world problems through data pipelines and machine learning lifecycle management Tool Proficiency: Use of internal and external AI tools to support data collection, preprocessing, and model deployment e.g. Using Large Language Models (LLMs) AWS and other AI technologies e.g. LangGraph, Strands etc. Using prompt engineering as a tool – to generate code, automate data ingestion and ensure quality outcomes Certified in relevant AWS Associate or Professional certifications e.g. Data Engineering, AI, Machine Learning Experience in relevant Amazon data and AI services; such as: GLUE, Lambda, SageMaker, Bedrock, AmazonQ, Kendra, Neptune Augmented AI with human oversight etc. Pipeline Design: Building scalable and efficient data pipelines that support AI model training and inference AI-Enhanced Automation: Leveraging AI agents to automate and accelerate engineering tasks (highly desirable experience with effective use of Model Context Protocols (MCPs) and automation for DevSecOps) Working with us: Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with an ultimate flexibility to work from any of our engineering hubs within Australia. 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. 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. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 08/11/2025 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. 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 really love working here, and we think you will too.

Responsibilities

Design and deliver an integrated Corporate Services data platform providing a single source of truth for timely and accurate data. Oversee the delivery of all data outcomes to support Finance Risk and Treasury.