 
        
        OverviewYou are collaborative and enjoy solving analytical problems to help our team to reach highest potential.
We are a team of big thinkers who are engineering the future of banking.
Together we will build tomorrow's bank today, using world-leading technology and innovation.
Do work that matters.Technology is the enabling force behind information technology functions for the Group to achieve the highest levels of customer experience, security and reliability, velocity, and innovation.
In Business Banking (BB) Technology, we provide technology solutions to Business Banking domains across Business Banking and CommSec.
We are empowering businesses and people to succeed with tomorrow's technology, our purpose is to become the leading digital business bank, powered by the next horizon of technology.See yourself in our teamAs part of the Commercial Lending Squad, within the Banker Assisted Lending Crew, you will be involved in key strategic initiatives that transform the Commercial Lending user experience, drive continuous improvement and risk buy-down.
You will work closely with the Product Owner and squad to deliver Commercial lending functionality and experience via minor enhancements as well as significant strategic transformation and change delivery.ResponsibilitiesWork on key strategic initiatives to transform the Commercial Lending user experience and drive continuous improvement and risk buy-down.Collaborate with the Product Owner and squad to deliver Commercial lending functionality and experience via minor enhancements and major strategic transformation and change delivery.We're interested in hearing from people whoHave solid hands-on experience in Cloudera Data Platform and large migration programs from on-prem to CloudAre knowledgeable of Data warehousing solutions like Amazon Redshift, Google BigQuery, or SnowflakeDrive innovation through AI-powered engineering, transforming complex challenges into intelligent, scalable solutionsAre passionate about building next generation Data platforms and Data pipeline solution across the BankHave proven track record of Agile delivery including leading and working on end-to-end delivery of projectsAre confident in their understanding of Data modelling, schema design, and Data architecture principlesAre confident leading, directing, coaching and guiding engineersPride themselves in driving pragmatic and fit for purpose solutions with high technical qualityHave solid hands-on experience with building Spark-based pipelinesLeverage AI tools like Claude Code and Roo/Cline to augment engineering workflows and accelerate deliveryAre pro-actively looking for ways to provide feedback and contribute towards Engineering and automation uplift to the ProductAre constantly thinking creatively and breaking boundaries to solve complex Data problemsHave solid understanding of DevOps practices and tools for CI/CD (e.g., Github, Jenkins, Docker, Kubernetes)Are knowledgeable of Data governance practices, Data privacy regulations, and Security measuresTech skillsWe use a broad range of tools, languages, and frameworks.
We do not expect you to know them all but experience or exposure with some of these, or a willing to learn these skillsets (or equivalents) will set you up for success in this teamProven hands-on experience in large-scale distributed data processing with Spark, Scala, HDFS, MapReduce, and YARNExpert-level proficiency in writing complex, optimised SQL queriesStrong experience in writing production-grade Python code for data processing, automation, and integration tasksHands-on experience with core AWS services including S3, Glue, Redshift, EMR and MSK.
AWS certification is a plusDeep understanding and hands-on experience with real-time data streaming (Kafka / MSK) and event-driven architecturesExpertise in handling complex file formats such as Avro, Parquet, and ORC, including nested structuresSolid grasp of traditional data warehousing concepts including dimensional modelling, normalisation, and star/snowflake schemasExperience with modern table formats for large analytic datasets such as Apache IcebergProficiency in building and maintaining ETL pipelines using AWS Glue or equivalent toolsWorking with usWe support our people with the flexibility to balance where work is done with at least half their time connecting in our Sydney or Melbourne office.We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few.If this sounds like you, apply now
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.
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