Join a major enterprise data transformation initiative, helping shape trusted, business-ready data products within a modern Databricks Lakehouse environment. This is an opportunity for an experienced Data Modeller who enjoys working closely with business stakeholders and technical teams to define, validate, and design logical datasets that drive reporting, analytics, and data-led decision-making.
The Opportunity
Our client's Enterprise Data Group has established a modern Lakehouse platform and continues to expand its enterprise analytics capabilities. As a Data Modeller, you will play a critical role in translating business requirements into logical data structures that support reporting and analytical outcomes across multiple business domains.
This is not a Data Engineering position. We are seeking a dedicated Data Modeller who can bridge business and technical teams, establish common data definitions, and guide the design of scalable, reusable data assets.
Key Responsibilities
- Collaborate with Business Stakeholders, Business Analysts, Architects, Data Owners and Data Engineers to understand business requirements and analytical use cases.
- Design and maintain logical data models and business-focused datasets.
- Facilitate workshops to define business concepts, entities, attributes and measures.
- Identify authoritative data sources and establish agreed business definitions.
- Analyse source systems and existing Lakehouse data assets to understand relationships and business meaning.
- Develop and maintain data dictionaries, business glossaries and metadata assets.
- Validate and refine datasets through iterative prototyping and stakeholder engagement.
- Ensure alignment with enterprise data governance, architecture and security standards.
- Partner closely with Data Engineers to support implementation of agreed designs within the Lakehouse environment.
You are a modern, pragmatic Data Modeller who thrives in agile delivery environments and can balance modelling rigour with delivery speed. You are comfortable moving from business requirements to implementation-ready designs while building strong relationships with a broad range of stakeholders.
Essential:
- 5+ years' experience in Data Modelling, Data Warehousing, Analytics Engineering or similar roles.
- Proven experience translating business requirements into logical data models and analytical datasets.
- Strong understanding of dimensional modelling and modern data modelling techniques.
- Experience analysing complex source systems and data structures.
- Excellent stakeholder engagement, workshop facilitation and communication skills.
- Experience documenting business definitions, data mappings and metadata.
- Understanding of data governance, data quality and authoritative source concepts.
- Experience working in agile delivery environments.
- Experience with Databricks and modern Lakehouse architectures.
- Experience working with Enterprise Data Models or Information Models.
- Background within Energy, Utilities or similar asset-intensive environments.
- Exposure to cloud-based analytics platforms and data product development.
- Initial 12-month contract with potential extensions.
- Brisbane-based engagement with a leading Queensland organisation.
- Opportunity to work on enterprise-scale analytics and data transformation initiatives.
- Collaborative environment with modern cloud and data technologies.
- High-impact role influencing strategic reporting and data-driven decision making.
Apply today or contact Alan Kocjman - alan.kocjman@peoplebank.com.au for a confidential discussion.
Peoplebank and Leaders IT are committed to creating a diverse and inclusive workplace where everyone belongs. We welcome applications from people of all backgrounds, identities, and experiences. If you need adjustments to the recruitment process due to your circumstances, please let us know—we’re here to support you.
