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Job Description:About the roleSt Vincent''s has been a leader in Australia''s health and aged care landscape for more than 165 years. Since our founders, the Sisters of Charity, opened our first hospital in 1857, our services and nearly 30,000 people have been behind some of Australia''s most important medical breakthroughs. We are a microcosm of Australia''s health and aged care system and are uniquely positioned to lead and respond to our rapidly changing environment.St Vincent''s Health Australia (SVHA) is launching its future as a "Connected, Intelligent Healthcare organisation" to unify data, AI and intelligence across our national footprint. We are seeking a high-calibre Senior Data Engineer to be a foundational senior leader of this transformation. This is a chance to build greenfield, mission-critical infrastructure that defines the national standard for a unified data platform and ethical AI deployment in healthcare.You will work closely with the Data & AI Platform lead, Data & AI Engineering & Analytics teams and clinical and operational stakeholders to deliver governed, high-performing and scalable data solutions across one of Australia''s most diverse health and aged care ministries.This role is central to enabling remote patient monitoring, virtual care, AI-assisted clinical decision support and predictive analytics models that enhance safety, reduce administrative burden and improve care outcomes across our public hospitals, private hospitals, aged care services and virtual health programs.What you''ll doBuild, optimise and maintain enterprise-grade data pipelines (ETL/ELT) across Azure Data Factory, Databricks/Fabric and SQL/Analysis ServicesGather, profile and integrate data from multiple systems to feed our Data Lakehouse and analytical modelsOwn the pipelines that ingest complex FHIR and HL7 streams from our multi-EMR landscape, translating disparate clinical formats into a standardised, unified Silver LayerOwn the pipelines that ingest complex FHIR and HL7 streams from our multi-EMR landscape, translating disparate clinical formats into a standardised, unified Silver LayerDeliver optimized business solutions by data modelling/data architecture, performing impact/risk/gap analysis, identification of facts, dimensions, aggregates and hierarchiesDeliver optimised business solutions by data modelling/data architecture, performing impact/risk/gap analysis, identification of facts, dimensions, aggregates and hierarchiesDevelop and maintain Infrastructure as Code (IaC) templates to manage Azure data resources programmaticallySupport AI readiness by designing and building ML- and Generative-AI-optimised pipelines, including Vector Database pipelines (for RAG architectures) and governed feature storesCollaborate with Data Scientists to operationalise machine learning models (MLOps), managing model registries, feature stores, and drift monitoringContribute to AI system governance by implementing data lineage, bias detection, and PII masking techniques within the data pipelines to ensure patient privacy and responsible data useIdentify new opportunities for data gathering including the ingestion of unstructured data (clinical notes, images) to support downstream AI applicationsWhat you''ll bring5+ years'' experience in data engineering, data management and data warehousing.Tertiary qualification Degree in Data Science, Statistics, Computer Science, or a related fieldMinimum 5 years'' experience in data engineering, data management, data modelling, data architecture and data warehousing technologies and practicesDemonstrable recent experience (ideally at least three years) in ETL and data warehouse solution design on Microsoft Azure platforms, including Azure Data FactoryStrong hands-on experience with Azure Data Factory, SQL, Python/Scala and modern Data Lakehouse platforms (Databricks or Microsoft Fabric)Experience with modern Data Lakehouse architectures blending data warehousing and data science capabilitiesSolid understanding of dimensional modelling, star schema design and cloud data architecturesSound knowledge of Relational Database management concepts and data modellingExperience building optimised pipelines for ML/AI applications, or a desire to deepen skills in this areaFamiliarity with Power BI, Analysis Services and enterprise reporting ecosystemsExcellent business acumen with the ability to work with stakeholders at all levelsDesirable SkillsKnowledge and experience of the health industryExposure to structured/unstructured data, big data architecture and predictive analytics solutionsKnowledge of Generative AI concepts, including Prompt Engineering, RAG architectures, vector databases, and using Azure OpenAI ServiceFamiliarity with containerisation (Docker, Kubernetes) for deploying data applicationsData, infrastructure and/or AI certifications by recognised providersWhy join St Vincent''sBe part of a mission-driven organisation shaping the future of Australian healthcareWork with a high-calibre data and digital community committed to innovation, advanced analytics and responsible AIFlexible hybrid working across Melbourne, Sydney or BrisbaneOpportunities for learning, development and progression across a national organisationYour work will directly improve patient safety, aged care support and wellbeing for thousands of Australians each dayCompetitive salary packaging optionsDiscounted private health insuranceEmployee Assistance Program for staff and their familiesAccess to the Fitness Passport (FP)At St Vincent''s we value inclusivity and diversity and acknowledge the importance of creating a work environment that is welcoming, safe, fair and impartial and invites people from all backgrounds to join us.Pre-Employment ChecksYour employment is conditional upon the completion of all required pre-employment checks, including relevant immunisations.Equal OpportunityWe celebrate diversity & inclusion and are committed to equal employment opportunity for everyone.How To ApplyPlease submit your application via the Apply button, include your resume and a brief cover letter outlining your experience and suitability.Respectfully, no recruitment agencies.Closing Date:27 February :59pmReconciliation Action Plan:At St Vincent''s we acknowledge the importance of creating a work environment that is welcoming, safe, equitable and inclusive for Aboriginal and/or Torres Strait Islander Employees. As part of our Commitment to Reconciliation and Closing the Gap in employment related outcomes, we encourage applications from Aboriginal and Torres Strait Islander Peoples.For further information, visit or get in contact at View Reconciliation Action PlanCode of Conduct:View Code of Conduct