At a Glance
- Tasks: Lead enterprise data modelling activities and collaborate with diverse teams on innovative projects.
- Company: Join a forward-thinking agency committed to modern data solutions.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Inclusive workplace welcoming applicants from all backgrounds.
- Why this job: Make a real impact by shaping data strategies that drive decision-making.
- Qualifications: Experience in data modelling and strong collaboration skills required.
The predicted salary is between 117000 - 143000 $ per year.
- Length of Contract: 12 months with 1 x 12 months extension possibility
- The role closes on 10/11/2026
- Location: QLD, ACT, VIC, NSW (Hybrid)
- Job details
The EL1 Data Modeller role is responsible for leading enterprise data modelling activities across multiple projects and initiatives.
Working closely with architects, engineers, analysts and business stakeholders, the position drives best practice data modelling, governance and design to support the Agency's modern data platform and analytics capability.
- Key duties and responsibilities
- Lead the design and governance of enterprise semantic models, certified datasets, KPIs, and business metrics.
- Engage with business stakeholders and data architects to understand business requirements and translate them into logical, dimensional and semantic data model.
- Design and develop enterprise grade dimensional models using start schema principles, including fact tables, dimensions, relationships, hierarchies and appropriate data granularity.
- Develop and optimise analytical data models within data warehouse, including presentation layer tables, views and SQL transformations to support semantic model requirements.
- Design, develop and maintain reusable and scalable semantic models in BI tools to support enterprise reporting and analytics.
- Define and implement business measures, KPIs, calculations and reusable business logic.
- Collaborate with data engineering teams to identify source data requirements, resolve data modelling challenges and ensure data is structured appropriately for analytical consumption.
- Optimise semantic model performance including relationships, cardinality, filter propagation and underlying database query performance.
- Work closely with reporting and analytics teams to enable consumption of governed semantic models without duplicating business logic across individual reports.
- (Note: responsibilities may change based on business priorities.)
- About the team
The Data Platforms and Services Branch is committed to building a world class, modern data platform, providing high quality data assets and products, and strengthening data capabilities across the NDIA to better manage and leverage data.
Our Data Office leads the Data Governance framework and helps the agency treat data as a critical strategic asset, manage it effectively across its lifecycle, and use it responsibly to improve efficiency and decision-making.
Our Data Platform and Services teams build and maintain the agency's data pipelines, data and reporting platforms, with specialised technical capabilities in data architecture and modelling, data engineering, technical business analysis, analytics and reporting.
Our data assets and products support analysis and reporting teams across the agency as well as external stakeholders and public reporting, but products are also integrated into business systems to support agency workflows and decision making.
SFIA Skills Sought
The development of models to represent and communicate data requirements and to enable organisations to understand their data assets and the relationships between real-world entities.
The investigation, analysis and scoping of data requirements to support the development of software systems, data integration and data retrieval activities.
The iteration, review and maintenance of data requirements and data models.
Sets standards for data modelling and design tools and techniques, advises on their application, and ensures compliance.
Manages the investigation of corporate data requirements, and co‐ordinates the application of data analysis, design and modelling techniques, based upon a detailed understanding of the corporate information requirements, in order to establish, modify or maintain data structures and their associated components (entity descriptions, relationship descriptions, attribute definitions).
Manages the iteration, review and maintenance of data requirements and data models.
\"We warmly welcome applications from individuals of all backgrounds, including First Nations Australians, Australian Defence Force and First Responder veterans, women in STEM, and people of all abilities, including those registered with the NDIS.\"
Lead Data Modeller in Canberra employer: National Disability Insurance Agency
The National Disability Insurance Agency (NDIA) is an exceptional employer, particularly for the APS5 Remote Planner role based in Mount Isa, QLD. With a strong commitment to community engagement and support for individuals with disabilities, NDIA fosters a collaborative work culture that values employee growth and development. Employees benefit from meaningful work that directly impacts local rural and remote communities, alongside opportunities for professional advancement and a supportive environment that encourages innovation and teamwork.
Contact Details:
National Disability Insurance Agency Recruitment Team
