Data Engineering & Warehousing jobs in Bayside Melbourne VIC
• The average pay for Data Engineering & Warehousing jobs in Bayside Melbourne VIC is $110K per year.
• Entry-level positions start at $100K per year, while the most experienced workers can earn up to $159K per year.
• 3 companies are currently advertising Data Engineering & Warehousing jobs in Bayside Melbourne VIC including Equifax, Priceline and Michael Page.
• Top skills include SQL, PYTHON, DATA QUALITY, PROGRESS and DATA ANALYST.
• Entry-level positions start at $100K per year, while the most experienced workers can earn up to $159K per year.
• 3 companies are currently advertising Data Engineering & Warehousing jobs in Bayside Melbourne VIC including Equifax, Priceline and Michael Page.
• Top skills include SQL, PYTHON, DATA QUALITY, PROGRESS and DATA ANALYST.
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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.
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.