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Data Engineering & Warehousing jobs in Docklands VIC 3008

• The average pay for Data Engineering & Warehousing jobs in Docklands VIC 3008 is $150K per year.
• Entry-level positions start at $80K per year, while the most experienced workers can earn up to $210K per year.
• Top skills include SQL, DATA WAREHOUSING, EXCELLENT COMMUNICATION SKILLS, PYTHON and SNOWFLAKE.
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Posted 1d ago
Full time · Permanent
Similar jobs pay ~$120k - $150k

Pay information not disclosed by advertiser

Key points we found

  • Work on a modern data platform using Google Cloud and BigQuery.
  • Design and deliver high-quality analytical data structures.
  • Collaborate with stakeholders to ensure data quality and usability.
Posted 36d ago
Full time · Permanent
Similar jobs pay ~$180k - $210k

Pay information not disclosed by advertiser

Key points we found

  • Lead the design and implementation of advanced data architecture.
  • Oversee production-grade MLOps and AI workloads.
  • Architect secure cloud environments and optimize data pipelines.
Posted 7d ago
Full time · Permanent
Similar jobs pay ~$90k - $120k

Pay information not disclosed by advertiser

Key points we found

  • Design, build and enhance cloud solutions across AWS and GCP environments.
  • Develop automation and infrastructure-as-code solutions to improve platform efficiency.
  • Collaborate with stakeholders to deliver secure and scalable cloud solutions.
Posted 1d ago
Full time · Permanent
Similar jobs pay ~$120k - $180k

Pay information not disclosed by advertiser

Key points we found

  • Serve as a developer for AI applications, transitioning from rapid prototypes to production-grade workflows.
  • Architect and code the integration between Google’s AI products and customer infrastructure.
  • Build high-performance evaluation pipelines and observability frameworks.
Expiring in 3d
Full time · Permanent
Similar jobs pay ~$80k - $100k

Pay information not disclosed by advertiser

Key points we found

  • Support commercial and operational performance through data insights.
  • Collaborate with Finance, Marketing, and Planning teams to drive a data-informed culture.
  • Maintain reporting tools and ensure data accuracy and integrity.