Data Engineer jobs in North Sydney NSW 2060
• The average pay for Data Engineer jobs in North Sydney NSW 2060 is $121K per year.
• Entry-level positions start at $100K per year, while the most experienced workers can earn up to $149K per year.
• 2 companies are currently advertising Data Engineer jobs in North Sydney NSW 2060 including TPG Telecom and Teradata.
• Top skills include SQL, AGILE DELIVERY, AWS, PROJECT MANAGEMENT and UNIX.
• Entry-level positions start at $100K per year, while the most experienced workers can earn up to $149K per year.
• 2 companies are currently advertising Data Engineer jobs in North Sydney NSW 2060 including TPG Telecom and Teradata.
• Top skills include SQL, AGILE DELIVERY, AWS, PROJECT MANAGEMENT and UNIX.
Showing 4 jobs
Sort by
Relevance
Posted 22d ago
Full time
·
Permanent
Similar jobs pay
~$160k - $170k
$160–170k Base + Bonus + Super
Key points we found
- Develop and optimise a modern Snowflake-based Enterprise Data Warehouse.
- Build scalable data pipelines using DBT Cloud, Python and SQL.
- Mentor team members and contribute to data engineering best practices.
Posted 23d ago
Full time
·
Permanent
Similar jobs pay
~$140k - $160k
$140,000 – $160,000 + super + bonus
Key points we found
- Develop and maintain the Enterprise Data Warehouse and Snowflake data hub.
- Build scalable data pipelines for batch and real-time processing.
- Support ML Ops and data science teams with data preparation and modelling.
Posted 13d ago
Full time
·
Permanent
Similar jobs pay
~$120k - $150k
Pay information not disclosed by advertiser
Key points we found
- Lead the design and development of the organisation''s data platform.
- Manage a cross-functional team to ensure seamless data flow and robust architecture.
- Oversee the operationalisation of machine learning models and data governance practices.
Posted 59d ago
Full time
·
Contract
Similar jobs pay
~$120k - $150k
Pay information not disclosed by advertiser
Key points we found
- Join HammondCare to improve quality of life for older Australians.
- Shape data architecture to enable safe, high-quality care.
- Work collaboratively with clinical leaders and technology partners.