Etl jobs in Macquarie Park NSW 2109
• The average pay for Etl jobs in Macquarie Park NSW 2109 is $184K per year.
• Entry-level positions start at $90K per year, while the most experienced workers can earn up to $278K per year.
• 4 companies are currently advertising Etl jobs in Macquarie Park NSW 2109 including Optus, Bluefin Resources, Ethos BeathChapman and Singtel Group.
• Top skills include ETL, Stakeholder Engagement, EXCELLENT COMMUNICATION SKILLS, SQL and Python.
• Entry-level positions start at $90K per year, while the most experienced workers can earn up to $278K per year.
• 4 companies are currently advertising Etl jobs in Macquarie Park NSW 2109 including Optus, Bluefin Resources, Ethos BeathChapman and Singtel Group.
• Top skills include ETL, Stakeholder Engagement, EXCELLENT COMMUNICATION SKILLS, SQL and Python.
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Posted 16d ago
Contract
Similar jobs pay
~$240k - $278k
$950 - $1100 per day
Key points we found
- Lead delivery of enterprise BI and data programs end-to-end
- Manage multiple concurrent workstreams and integration dependencies
- Drive structured project governance, reporting, RAID, and executive updates
Expiring in 4d
Contract
Similar jobs pay
~$240k - $278k
Pay information not disclosed by advertiser
Key points we found
- Lead delivery of enterprise BI and analytics programs across multiple workstreams
- Manage complex integrations across HR, Payroll, Finance, and Planning systems
- Drive delivery of executive dashboards and workforce analytics solutions
Posted 5d ago
Full time
·
Permanent
Similar jobs pay
~$100k - $130k
Pay information not disclosed by advertiser
Key points we found
- Build and manage high-quality, scalable data pipelines on cloud platforms.
- Collaborate with stakeholders to drive business value from network data.
- Develop scalable data transformations using SQL, Python, and Spark/PySpark.
Posted 5d ago
Full time
·
Permanent
Similar jobs pay
~$90k - $120k
Pay information not disclosed by advertiser
Key points we found
- Build and manage high-quality, scalable data pipelines on cloud platforms.
- Collaborate with stakeholders to drive business value from network data.
- Develop scalable data transformations using SQL, Python, and Spark/PySpark.