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Commonwealth Bank

Staff Data Engineer

Commonwealth Bank

Staff Data Engineer building secure, scalable data products and AI-enabled pipelines for Commonwealth Bank Group. Leading data engineering standards, automation, quality controls and model productionisation.

Posted 9/6/2026full-timeMelbourne • 🇦🇺 AustraliaLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and building scalable data pipelines, implementing CI/CD processes, and ensuring data quality and governance. Proficient in Python and R programming, with strong capabilities in data modeling and machine learning productionization.

Highest-signal resume keywords
Data EngineeringCI/CD Pipelines Using GitHub ActionsPython ProgrammingData Quality ControlsBig Data Technologies

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Pipeline DesignData TransformationData ModelingSQL ProgrammingAutomated TestingMachine Learning ProductionizationData CleansingEntity ResolutionAlgorithmic OptimizationData Observability
Soft Skills
Technical LeadershipMentoring
Tools & Technologies
GitHub ActionsBig Data TechnologiesDistributed ProcessingCloud PlatformsInfrastructure-as-Code
Industry Keywords
Data GovernanceCyber Security ControlsRegulated EnvironmentsIdentity ManagementAI-Driven Automation

Tech Stack

Tools & technologies
CloudCyber SecurityPythonSQL

About the role

Key responsibilities & impact
  • Design and build scalable batch, streaming and analytical data pipelines
  • Transform source data into trusted, reusable and analysis-ready datasets
  • Create curated data layers, semantic models and reusable data products for dashboards, reporting and analytics
  • Automate the dashboard data lifecycle, including ingestion, transformation, testing, deployment, monitoring, refresh and issue remediation
  • Design and implement agentic workflows coordinating data preparation, quality validation, metadata generation, dashboard updates and operational support
  • Build and maintain CI/CD pipelines using GitHub Actions
  • Design data models, ontologies, taxonomies and common data definitions
  • Implement data matching, entity resolution, deduplication and data cleansing solutions
  • Build automated data quality, validation, reconciliation and observability controls
  • Develop solutions for large and complex datasets using big data and distributed processing technologies
  • Support productionisation and monitoring of machine learning and open-weight models
  • Develop production-grade solutions using Python and/or R
  • Establish engineering standards, mentor engineers and provide technical guidance
  • Ensure data solutions meet security, privacy, resilience and governance requirements

Requirements

What you’ll need
  • Strong experience in data engineering and large-scale data platforms
  • Strong algorithmic optimisation capabilities
  • Advanced Python and/or R programming skills, with strong SQL capability
  • Experience building production-grade analytical, batch or streaming pipelines
  • Experience preparing reusable datasets and semantic data layers for dashboards, reporting and analytics
  • Strong experience implementing CI/CD pipelines using GitHub Actions
  • Experience automating data and analytical product lifecycles, including testing, deployment, monitoring and release management
  • Experience designing or implementing agentic workflows, AI-driven automation or intelligent orchestration
  • Experience with big data and distributed processing technologies
  • Experience with data modelling, semantic modelling or data ontology
  • Experience with data matching, entity resolution, deduplication and data cleansing
  • Experience implementing data quality and data observability controls
  • Exposure to MLOps and the productionisation of analytical or machine learning models
  • Strong cloud platform, software engineering, automated testing and infrastructure-as-code experience
  • Demonstrated technical leadership and mentoring capability
  • Experience evaluating, fine-tuning, deploying or operating open-weight models
  • Exposure to retrieval-augmented generation, embeddings, vector databases or model-serving technologies
  • Experience applying AI agents to data engineering, analytics or dashboard operations
  • Exposure to cyber security controls and secure data engineering
  • Exposure to identity and access management, identity governance or identity-related datasets
  • Experience in regulated or risk-sensitive environments

Benefits

Comp & perks
  • 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Commonwealth Bank Website LinkedIn All Job Openings 10,000+ employees 🛡️ Insurance 💼 Consulting 🏦 Banking 💰 Venture Round on 2015-06 Insurance
  • Consulting
  • Banking Commonwealth Bank is Australia’s leading provider of financial services, offering a comprehensive range of solutions including retail, premium, business, and institutional banking, funds management, superannuation, insurance, investment, and sharebroking products and services. With more than 800,000 shareholders and over 52,000 employees, the bank aims to help all Australians build and manage their finances effectively. Staff Data Engineer 🔥 2 hours ago 🏢 Melbourne – Onsite ⏰ Full Time 🔴 Lead 🚰 Data Engineer 👻 Ghost score 10% Cloud Cyber Security Python SQL Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
  • Design and build scalable batch, streaming and analytical data pipelines
  • Transform source data into trusted, reusable and analysis-ready datasets
  • Create curated data layers, semantic models and reusable data products for dashboards, reporting and analytics
  • Automate the dashboard data lifecycle, including ingestion, transformation, testing, deployment, monitoring, refresh and issue remediation
  • Design and implement agentic workflows coordinating data preparation, quality validation, metadata generation, dashboard updates and operational support
  • Build and maintain CI/CD pipelines using GitHub Actions
  • Design data models, ontologies, taxonomies and common data definitions
  • Implement data matching, entity resolution, deduplication and data cleansing solutions
  • Build automated data quality, validation, reconciliation and observability controls
  • Develop solutions for large and complex datasets using big data and distributed processing technologies
  • Support productionisation and monitoring of machine learning and open-weight models
  • Develop production-grade solutions using Python and/or R
  • Establish engineering standards, mentor engineers and provide technical guidance
  • Ensure data solutions meet security, privacy, resilience and governance requirements 🎯 Requirements
  • Strong experience in data engineering and large-scale data platforms
  • Strong algorithmic optimisation capabilities
  • Advanced Python and/or R programming skills, with strong SQL capability
  • Experience building production-grade analytical, batch or streaming pipelines
  • Experience preparing reusable datasets and semantic data layers for dashboards, reporting and analytics
  • Strong experience implementing CI/CD pipelines using GitHub Actions
  • Experience automating data and analytical product lifecycles, including testing, deployment, monitoring and release management
  • Experience designing or implementing agentic workflows, AI-driven automation or intelligent orchestration
  • Experience with big data and distributed processing technologies
  • Experience with data modelling, semantic modelling or data ontology
  • Experience with data matching, entity resolution, deduplication and data cleansing
  • Experience implementing data quality and data observability controls
  • Exposure to MLOps and the productionisation of analytical or machine learning models
  • Strong cloud platform, software engineering, automated testing and infrastructure-as-code experience
  • Demonstrated technical leadership and mentoring capability
  • Experience evaluating, fine-tuning, deploying or operating open-weight models
  • Exposure to retrieval-augmented generation, embeddings, vector databases or model-serving technologies
  • Experience applying AI agents to data engineering, analytics or dashboard operations
  • Exposure to cyber security controls and secure data engineering
  • Exposure to identity and access management, identity governance or identity-related datasets
  • Experience in regulated or risk-sensitive environments Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score View More Data Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Remote jobs Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources About us Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass Resume Review AI Apply Copilot OpenClaw job finder API docs Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs