Data Engineering Lead jobs in NSW
• The average pay for Data Engineering Lead jobs in NSW is $121K per year.
• Entry-level positions start at $1K per year, while the most experienced workers can earn up to $220K per year.
• 5 companies are currently advertising Data Engineering Lead jobs in NSW including , , , and .
• Top skills include SQL, PYTHON, DATA ARCHITECTURE, DEV OPS and AGILE METHODOLOGIES.
• Entry-level positions start at $1K per year, while the most experienced workers can earn up to $220K per year.
• 5 companies are currently advertising Data Engineering Lead jobs in NSW including , , , and .
• Top skills include SQL, PYTHON, DATA ARCHITECTURE, DEV OPS and AGILE METHODOLOGIES.
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Posted today
Full time
·
Contract
Key points we found
- Lead and develop a high-performing engineering team in data engineering.
- Design and deliver scalable data architectures and solutions.
- Collaborate with stakeholders to ensure compliance and improve financial crime detection.
Posted today
Full time
·
Contract
Similar jobs pay
~$135k - $145k
Pay information not disclosed by advertiser
Key points we found
- Lead and provide expertise in data architecture and engineering.
- Direct the definition of architectural standards for secure and scalable data platforms.
- Influence enterprise-level outcomes and partner with senior stakeholders.
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 41d ago
Full time
·
Permanent
Similar jobs pay
~$150k - $200k
Pay information not disclosed by advertiser
Key points we found
- Lead a high-performance data engineering team.
- Develop and execute the vision and strategy for Optiver''s data platform.
- Collaborate with stakeholders to standardise workflows and integrate systems.