Data Engineering Manager jobs
• The average pay for Data Engineering Manager jobs is $261K per year.
• Entry-level positions start at $169K per year, while the most experienced workers can earn up to $351K per year.
• 3 companies are currently advertising Data Engineering Manager jobs including Amazon, Accenture and Deloitte.
• Top skills include LEADERSHIP, PYTHON, PROJECT MANAGEMENT, DATA ARCHITECTURE and DATA GOVERNANCE.
• Entry-level positions start at $169K per year, while the most experienced workers can earn up to $351K per year.
• 3 companies are currently advertising Data Engineering Manager jobs including Amazon, Accenture and Deloitte.
• Top skills include LEADERSHIP, PYTHON, PROJECT MANAGEMENT, DATA ARCHITECTURE and DATA GOVERNANCE.
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Expiring today
Full time
·
Permanent
Similar jobs pay
~$150k - $200k
Pay information not disclosed by advertiser
Key points we found
- Lead a team of technical experts in a matrixed organisation.
- Focus on talent strategy and skills development in emerging AI/ML technologies.
- Execute the technical goal and strategy for the region’s data analytics and AI practice.
Expiring today
Full time
·
Permanent
Similar jobs pay
~$150k - $200k
Pay information not disclosed by advertiser
Key points we found
- Lead a team of technical experts in a matrixed organisation.
- Focus on talent strategy and skills development in emerging AI/ML technologies.
- Execute the technical goal and strategy for the region’s data analytics and AI practice.
Posted 42d ago
Full time
·
Permanent
Similar jobs pay
~$250k - $251k
AU$250000 - AU$251000 per annum + incl super
Key points we found
- Lead technical coordination across various stakeholders.
- Contribute to Databricks implementation and support data migration.
- Establish governance practices and build internal capability.
Expiring in 4d
Full time
·
Contract
Similar jobs pay
~$120k - $150k
Pay information not disclosed by advertiser
Key points we found
- Manage BAU delivery priorities and stakeholder coordination.
- Take ownership of 60-70% of BAU operations including reporting cycles.
- Translate insurance business requirements into scalable data engineering solutions.