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Data Modeller jobs in NSW

• The average pay for Data Modeller jobs in NSW is $112K per year.
• Entry-level positions start at $500 per year, while the most experienced workers can earn up to $264K per year.
26 companies are currently advertising Data Modeller jobs in NSW including , , , and .
• Top skills include DATA MODELING, SQL, PYTHON, PROBLEM-SOLVING SKILLS and ETL PROCESSES.
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Posted 43d ago
Full time · Permanent
Similar jobs pay ~$90k - $120k

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Key points we found

  • Design and deliver enterprise data models to support data transformation.
  • Develop conceptual, logical, and physical data models aligned to cloud-native architecture.
  • Investigate business rules and define data integration and transformation logic.
Posted 22d ago
Contract
Similar jobs pay ~$127k - $139k

AU$500 - AU$550 per day

Key points we found

  • Join an exciting project as a Data Modeller / Analyst in Sydney.
  • Contribute to sophisticated enhancement projects in a mature environment.
  • Utilise your expertise in data modelling and analysis to meet business requirements.
Posted 4d ago
Contract
Similar jobs pay ~$240k - $253k

AU$950 - AU$1000 per day + + Super

Key points we found

  • Join a government client as a Data Modeller supporting HR Data Program.
  • Design and document enterprise-grade data models across Snowflake.
  • Collaborate with business stakeholders to ensure data quality and governance.
Expiring in 4d
Contract
Similar jobs pay ~$127k - $139k

AU$500 - AU$550 per day

Key points we found

  • Join an exciting project as a Data Modeller / Analyst in Sydney.
  • Contribute to sophisticated enhancement projects in a mature environment.
  • Utilise your expertise in data modelling and analysis to meet business requirements.
Expiring in 3d
Full time · Permanent
Similar jobs pay ~$100k - $130k

Pay information not disclosed by advertiser

Key points we found

  • Lead the development of data visualisation for identity verification and authentication.
  • Deliver and automate high-quality dashboards and reports.
  • Assist in the implementation of new platforms and tools.