Job Title

OverviewJoin to apply for the Data Modeller role at HCF Australia.This role exists to design and maintain high-quality data models that accurately represent the complex relationships within private health insurance, including member data, claims, benefits, providers, and regulatory reporting.ResponsibilitiesDevelop and maintain conceptual, logical, and physical data models that reflect core business domains such as members, policies, claims, providers, benefits, and regulatory reporting.Ensure models are scalable, reusable, performant, and aligned with enterprise and data architecture standards.Analyse source systems to understand data structures, relationships, and business rules.Create and maintain detailed data requirements and data mapping documentation to support integration, transformation, and reporting.Collaborate with business SMEs, data engineers, analysts, and architects to gather requirements and translate them into data models.Facilitate workshops and walkthroughs to align models with business processes and terminology.Produce and maintain comprehensive documentation including data dictionaries, entity-relationship diagrams, and lineage diagrams.Contribute to metadata management and data cataloguing initiatives to improve data discoverability and governance.Define and enforce data modelling standards, naming conventions, and data definitions.Support data governance efforts by ensuring models comply with privacy, security, and regulatory requirements.Integrate data modelling and analysis tasks into automated CI/CD pipelines.Implement version control for data models and analysis code using tools like Azure DevOps.Explore and implement AI and GEN AI/LLM capabilities to enhance data mapping and modelling efforts.Operate in a manner compliant with relevant regulatory standards including Work Health & Safety (WHS) legislation.Essential QualificationsBachelor''s or Master''s degree in Computer Science, Engineering or a related discipline.7+ years of commercial experience in a Data Modeller role.Python and Advanced SQL experience, including fluency with PL/SQL procedures.Advanced data mapping and modelling skills dimensional modelling (star/snowflake schemas, fact/dimension models), Normalisation and Denormalisation (for logical and physical model design) and Modelling Tools (e.g. Erwin, SQL Server Data Tools, Visio).Experience in ETL/ELT and data warehousing concepts.Experience with Data Lakes and Data Warehouses (Snowflake, Databricks, Synapse, Amazon S3).Knowledge of Data Vault modelling technique.Experience gathering and documenting data & reporting requirements, data catalogues, lineage tools and internal governance frameworks.Prior experience in the private health insurance or healthcare domain is highly desirable.Experience in Gen AI/LLM for data platforms is desirable.About HCFAt HCF, our purpose is to bring our human touch to healthcare. Since 1932 we''ve been putting our members and their health first. As Australia''s largest not-for-profit health fund, we cover 2 million members with health, life, travel and pet insurance and our vision is to make healthcare understandable, affordable, high quality and member centric. We want to be true health partners to our members, easily guiding the healthcare choices that are right for them. Our values guide how we work and help us realise our purpose and deliver our Strategy. Living our values in action means we step forward, walk in their shoes, stay human, make it better and get there together.Culture & BenefitsWe''re committed to an inclusive and collaborative work environment with a focus on wellbeing and growth. Our benefits include:Flexible working arrangements50% subsidy on HCF hospital and/or extras coverFamily-friendly certified employer18 weeks of parental leave for all new parentsMental health and wellbeing programs, including workshops, fitness classes, flu vaccinations, skin checks and moreDiscounts on HCF''s products, including life, pet and travel Insurance, as well as discounts at Fitness First gyms and on eyecare products.Next stepsIf you require any adjustments to assist you in making your application or during the recruitment or onboarding process, please reach out to Talent Acquisition [email protected]. We encourage applicants to submit their applications at their earliest convenience, as HCF reviews applications as they are submitted and may have filled the role prior to the closing date.#J-18808-Ljbffr