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Data Platform Engineer jobs in Brisbane QLD

• The average pay for Data Platform Engineer jobs in Brisbane QLD is $225K per year.
• Entry-level positions start at $161K per year, while the most experienced workers can earn up to $339K per year.
6 companies are currently advertising Data Platform Engineer jobs in Brisbane QLD including SS&C Bluedoor Pty Limited, Paxus, Australian Broadcasting Corporation, Datacom and Ashurst.
• Top skills include DATA GOVERNANCE, DATA INTEGRATION, SNOWFLAKE, TEAM LEADERSHIP & MENTORING and SQL and database technologies.
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Posted 42d ago
Full time · Permanent
Similar jobs pay ~$120k - $150k

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Key points we found

  • Build and modernise enterprise data platforms using Azure and integration services.
  • Design and implement medallion-based architectures and manage data platforms within Fabric/OneLake.
  • Collaborate with stakeholders to translate business requirements into technical solutions.
Posted 38d ago
Full time · Permanent
Similar jobs pay ~$90k - $130k

Pay information not disclosed by advertiser

Key points we found

  • Build and optimise scalable data pipelines and reusable engineering frameworks.
  • Drive automation, CI/CD and engineering best practices to improve platform reliability and developer experience.
  • Champion modern software engineering practices and AI-assisted tools to improve quality and delivery.
Posted 2d ago
Full time · Contract
Similar jobs pay ~$90k - $120k

Pay information not disclosed by advertiser

Key points we found

  • Deliver AI-enabled use cases within the first 90 days.
  • Design and implement AI solutions using Azure OpenAI.
  • Improve and standardise Power BI datasets for better reporting.
Posted 29d ago
Full time · Contract
Similar jobs pay ~$120k - $150k

Pay information not disclosed by advertiser

Key points we found

  • Design, build and operate secure data pipelines and products within the Enterprise Data Platform.
  • Implement medallion architecture and dimensional models for analytics and reporting.
  • Collaborate with data governance to ensure high-quality curated datasets.