{"id":4225534,"url":"https://alion.io/job/peter-maccallum-cancer-centre-data-engineer","title":"Data Engineer","company":{"id":1840816,"name":"Peter MacCallum Cancer Centre","domain":"petermac.org","url":"https://alion.io/company/petermac-org","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Melbourne, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":null,"max":130000,"currency":"AUD","period":"year","gross":null,"usd_annual":88554},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"DICOM","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FHIR","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-13T07:42:45Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-13T07:42:45Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"YOUR ROLE IN OUR FUTURE\nData Engineer\nFull-time, Ongoing position available - 80 hours per fortnight.\nUp to $130,000.00 to $150,000.00 salary per annum + Salary Packaging + Super + Five Weeks Annual Leave.\nParkville location with flexible working arrangements.\nThe Peter MacCallum Cancer Centre (Peter Mac) is a Victorian public health service and a world-leading comprehensive cancer centre, dedicated to excellence across all spheres of clinical care, research and education. We are home to the largest cancer research enterprise in Australia and provide treatment to around 40,000 people with cancer each year. Welcoming staff from diverse backgrounds and experiences is integral to fostering innovation and compassion, and delivering the best possible cancer care for our patients.\nAbout the team\nThe Digital and Connected Health (DCH) team is transforming the way data is managed, accessed and used across Peter Mac. Working closely with clinical, research, technology and analytics stakeholders, the team is implementing a new Data Management and Analytics Platform (DMAP) in Azure Databricks to support secure, scalable and self-service access to enterprise data.\nJoin a transformative digital health program delivering enterprise-scale data capability\nAbout the role\nWe are seeking an experienced Data Engineer to play a key role in implementing a Data Management and Analytics Platform built on Azure Databricks, enabling secure, scalable and self-service access to high-quality data. The Data Engineer will work closely with clinical, research, operational, analytics and technology stakeholders to translate enterprise data requirements into reliable, scalable solutions that support advanced analytics, research, innovation and data driven decision making across the organisation. This is an ongoing position within our Digital and Connected Health team, reporting to the Program Lead.\nThis position offers an exciting opportunity to contribute to a significant digital trasformation initiative while helping shape the future of data-driven cancer care and research.\nA regular day will see you:\nDesigning, building and maintaining scalable data pielines and analytics-ready datasets.\nDeveloping and supporting enterprise-scale cloud data platforms using Azure Databricksand modern engineering practices.\nImplementing data governance, security, privacy and quality controls across data asset.\nBuilding and maintaining CI/CD pipelines, automation frameworks and infrastructure as ode solutions.\nCollaborating with clinical, research, business and technology stakeholders to deliverhigh-value data solutions.\nSupporting data architecture, technical design decisions and platform optimisation iniiatives.\nCreating and maintaining technical documentation, operational runbooks and support proedures. \nAbout you\nYou are a technically strong and collaborative data professional who enjos solving complex problems and enabling organisations to make smarter decisions through data. You bring a proactive approach to stakeholder engagement, continuous improvement and delivering high-quality solutions.\nYou'll bring with you:\nRelevant tertiary qualifications in Computer Science, Information Technology, Data Engineering, Software Engineering or equivalent experience.\nDemonstrated experience designing, building and supporting enterprise-scale cloud dataplatforms.\nStrong expertise in data warehousing, ETL/ELT processes, data modelling and enterpriseintegration patterns.\nHands-on experience with SQL, Python and modern data engineering technologies such as park.\nExperience implementing CI/CD pipelines, infrastructure as code and automated deploymet practices.\nKnowledge of data governance, privacy, security, metadata and data quality frameworks.\nStrong stakeholder engagement and communication skills with the ability to work acrosstechnical and non-technical teams. \nIt would be great if you also have:\nExperience working in healthcare, research o academic environments.\nExposure to healthcare interoperability standards including HL7v2, FHIR, DICOM or OMOP\nExperience with AI, machine learning, advanced analytics or large language model (LLM)enabled data solutions.\nWhy join Peter Mac?\nWe offer a range of benefits designed to support your career, wllbeing and work-life balance, including:\nSalary packaging benefits to increase your take-home pay.\nFive weeks annual leave.\nFlexible and hybrid working arrangements.\nProfessional development opportunities.\nAccess to health and wellbeing initiatives.\nA collaborative, inclusive and purpose-driven workplace.\nThe opportunity to contribute to world-leading cancer research and care. \nInclusion and belonging\nAt Peter MacCallum Cancer Centre, we celebrate diversity and are committed to creating an inclusive workplace where everyone feels respected, valued and supported. We welcome applications from Aboriginal and Torres Strait Islander peoples, people from culturally and linguistically diverse backgrounds, members of the LGBTQIA+ community, people with disability and people of all ages.\nJoin us!\nIf you're passionate about building modern data platforms that supprt world-class clinical care, research and innovation, we'd love to hear from you.\nAll appointments are made subject to satisfactory background screening requirements relevant to the role. Successful applicants will be expected to comply with Peter Mac policies, procedures and mandatory training requirements.\nFor a confidential discussion about this role, please contact:\nHiring Manager: Erminia Schiavone, Digital Foudation Program Lead, Digital & Connected Health\nContact Numbe r: 8559 5425\nEmail: \nApplications close: 11.59PM Sunday 29 November 2026.\n______________________________________________________________________________________________________\nPosition Summary\nPeter Mac is seeking a Data Engineer to play a leading role in implementation of a new Data Management and Analytics Platform (DMAP), running in Azure Databricks, to enable secure, scalable, self-service access to high-quality data.\nThe Data Engineer will work closely with business, clinical, research, analytics, and technology stakeholders to translate enterprise requirements into robust data solutions to accelerate research, innovation, and data-driven decision-making across the organization.\nThe role is responsible for:\nImplementing and supporting enterprise-scale data platforms and architectures.\nBuilding robust, automated data engineering solutions.\nEstablishing governance, standards, and operational excellence\nEnabling self-service analytics at scale.\nInfluencing stakeholders and leading cross-domain data initiatives that support research, clinical, and organizational outcomes.\nEnterprise Agreement\nHealth and Allied Services, Managers and Administrative Workers\nClassification or Salary Range\nHS4\nImmunisation Risk Category\nCategory C: Position within a non-clinical setting\nKey Relationships\n\nInternal\n\nDigital & Connected Health team\nDigital Innovation team\nBusiness Intelligence & Analytics team\nHealth Service Research team\nBioinformatics team\nEMR Optimisation team\nChief Information Officers\n\nExternal\n\nDigital platform vendors\nLocal Health Services Network\nUniversity partners\nGovernment agencies and professional bodies\nCollaborating investigators and their support staff\nGovernment and research funding bodies\nRegulatory bodies\nConsultants\n\nSkills\n\nEssential\n\nRelevant tertiary qualification in Computer Science, Information Technology, Data Engineering, Software Engineering, or equivalent experience.\n3 - 5 years experience designing, building, and supporting enterprise-scale data platforms, with a focus on cloud-based technologies and Databricks.\nDeep and solid understanding of, and exposure to:Data warehousing principles, ETL/ELT processes and data modelling techniques.\nDifferent phases of data project delivery lifecycle.\nEnterprise integration patterns, API-based architectures, and interoperability concepts.\nSelf-service analytics principles.\nWorking with a data team and understanding their challenges.\n\nAbility to produce quality technical documentation.\nStrong stakeholder engagement skills working effectively across technical and non-technical teams.Demonstrated ability to lead technical decision-making and influence architecture, tooling, and engineering standards.\nUnderstanding of the Australian Privacy Principles and de-identification.\nSkills:\nDemonstrated hands-on experience:Building and deploying data engineering pipelines into production, including using automation best practices for CI/CD\nImplementing data governance and security controls eg role-based access, data quality checks, auditability, privacy, sensitive data, consent and de-identification.\nWith at least one of AWS/Azure/GCP and the respective data services.\nIntegration of data from multiple enterprise systems.\nDeploying cloud infrastructure as code (IaC) using Terraform or similar.\nPerformance tuning, optimisation, and scalability of data solutions.\nEnvironment management across development, test, staging, and production.\n\nProficiency in common:data languages eg SQL, Python.\ndata engineering tools - eg Spark, Kubernetes.\n\ndata governance tools - eg data catalog, metadata.\n\n Desirable\n\nExperience working within healthcare, research, or academic environments.\nExperience integrating data from Electronic Medical Record (EMR) systems such as Epic.\nExperience with healthcare interoperability standards or patterns, including HL7v2, FHIR, DICOM, OMOP, or other clinical/research data models.\nExposure to AI, machine learning, advanced analytics, or research computing platforms, including the use of large language models (LLMs) and other AI techniques within data processing, transformation, enrichment, or data quality workflows\n\nKey Accountabilities\n\nKey Accountabilities\n\nDemonstrated by / Key Performance Indicators\n\n1. Data Platform Design & Engineering\n\nDevelop, test and maintain data pipelines that ingest, transform and publish data from priority source systems.\nPrepare well-modelled, analytics-ready datasets for approved reporting, research and innovation use cases.\nApply agreed engineering standards for code quality, testing, security, monitoring and maintainability.\n\n2. Data Architecture & Design\n\nTranslate stakeholder requirements into practical data designs, mappings and implementation tasks.\nImplement data quality, lineage, metadata, privacy and access controls in line with agreed architecture and governance.\nContribute to technical design decisions and identify issues requiring escalation to the platform lead or architecture governance forums.\n\n3. DevOps & Operational Excellence\n\nProvision and maintain Databricks and supporting Azure resources using Terraform or equivalent Infrastructure as Code, following approved designs and controls.\nBuild and maintain CI/CD pipelines, automated tests, version control and deployment processes.\nManage promotion of code and configuration across development, test and production environments.\nMonitor platform services and data workloads, troubleshoot failures, support incident resolution and maintain operational runbooks.\nWork with managed service providers to coordinate platform changes, operational support, capacity and cost optimisation.\n\nKey Accountabilities (Contd..)\n\nKey Accountabilities\n\nDemonstrated by / Key Performance Indicators\n\n4. Governance, Standards & Best Practice\n\nFollow and contribute to engineering standards, reusable patterns, naming conventions and coding practices.\nApply agreed controls for data access, security, privacy, auditability and regulatory compliance.\nIdentify opportunities to improve platform reliability, performance and maintainability.\nMaintain currency on industry best practice\n\n5. Documentation & Knowledge Management\n\nMaintain concise technical documentation, source-to-target mappings, operational runbooks and support procedures.\nKeep code, configuration and documentation version-controlled and current.\n\n6. Stake...","description_format":"text","description_chars":13753,"description_truncated":true,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Annual leave","Flexible schedule","Hybrid work","Professional development"],"hiring_locations":[{"name":"Australia","iso":"AU","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Research Institutes","Cancer Care Centers"],"lifecycle":[{"event":"open","at":"2026-11-13T07:42:45Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":15,"reasons":["conf:1","win:early"],"computed_at":"2026-11-13T08:51:16Z"},"pay":{"stated_usd_annual":88554,"is_top_pay":false},"html_url":"https://alion.io/job/peter-maccallum-cancer-centre-data-engineer","json_url":"https://alion.io/job/peter-maccallum-cancer-centre-data-engineer.json","meta":{"generated_at":"2026-11-13T08:51:16Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":18361,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1840816},"rest":"https://alion.io/mcp/rest/get_company?id=1840816"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpeter-maccallum-cancer-centre-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpeter-maccallum-cancer-centre-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpeter-maccallum-cancer-centre-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/peter-maccallum-cancer-centre-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpeter-maccallum-cancer-centre-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4225534}},{"tool":"search_jobs","arguments":{"company":"petermac.org","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4225534},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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