Data Engineer jobs in Bayside Melbourne VIC
• The average pay for Data Engineer jobs in Bayside Melbourne VIC is $121K per year.
• Entry-level positions start at $72K per year, while the most experienced workers can earn up to $162K per year.
• 4 companies are currently advertising Data Engineer jobs in Bayside Melbourne VIC including Latitude, FS.COM Pty Ltd, Team Global Express and kogan.
• Top skills include SQL, SOFTWARE ENGINEERING, AWS, BUSINESS INTELLIGENCE and MANAGEMENT.
• Entry-level positions start at $72K per year, while the most experienced workers can earn up to $162K per year.
• 4 companies are currently advertising Data Engineer jobs in Bayside Melbourne VIC including Latitude, FS.COM Pty Ltd, Team Global Express and kogan.
• Top skills include SQL, SOFTWARE ENGINEERING, AWS, BUSINESS INTELLIGENCE and MANAGEMENT.
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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.
+60d ago
Full time
·
Permanent
Similar jobs pay
~$90k - $120k
Pay information not disclosed by advertiser
Key points we found
- Design and maintain ETL/ELT pipelines for large-scale data transfers.
- Develop and optimize data models for analytics and ML training.
- Establish MLOps pipelines for model deployment and monitoring.
Expiring in 3d
Full time
·
Permanent
Similar jobs pay
~$90k - $130k
Pay information not disclosed by advertiser
Key points we found
- Design, build and deploy machine learning models for business problems.
- Develop and maintain MLOps pipelines for model automation.
- Collaborate with cross-functional teams to leverage machine learning.
Expiring in 2d
Full time
·
Contract
Similar jobs pay
~$90k - $120k
Pay information not disclosed by advertiser
Key points we found
- Shape how a data-rich business leverages insights to drive growth.
- Build and maintain dashboards, reports and analytics across BI tools.
- Support data architecture, warehousing and reporting strategy.