Data Engineering & Warehousing jobs in Melbourne VIC
106 jobs
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+60d ago
Data, Analytics & AI Practice Lead
FAIR Consulting Group
Melbourne VIC 3004•Full time
~$150k - $200k(Estimated)
KEY POINTS WE FOUND
- Lead the growth of the Data, Analytics, and AI practice.
- Drive innovation through AI technologies and solutions.
- Provide thought leadership on digital transformation trends.
+60d ago
Principal Data Engineer
REA Group
Richmond VIC 3121•Full time
~$130k - $160k(Estimated)
KEY POINTS WE FOUND
- Lead technical initiatives across multiple squads
- Design and oversee data architecture and solutions
- Collaborate with cross-functional teams to enhance data delivery
Posted 52d ago
Staff Data Engineer
Latitude
Melbourne VIC 3004•Full time
~$120k - $150k(Estimated)
KEY POINTS WE FOUND
- Lead technical delivery of data platforms and pipelines.
- Engineer scalable data solutions using platforms like Snowflake and AWS.
- Provide technical guidance and maintain operational reliability.
Posted 37d ago
Lead, Analytics & Insights
UniSuper
Melbourne VIC 3004•Full time
~$120k - $150k(Estimated)
KEY POINTS WE FOUND
- Lead a team of data and analytics specialists to deliver insights that support business objectives.
- Develop high-quality reports, data models, and visualisations for decision-making.
- Collaborate with stakeholders to drive operational excellence and improve customer experience.
+60d ago
Data Engineer
REA Group
Richmond VIC 3121•Full time
~$90k - $130k(Estimated)
KEY POINTS WE FOUND
- Design, build, and maintain data pipelines and datasets.
- Collaborate with team members on implementation approaches and tackle work efficiently.
- Engage with cross-functional teams for data remediation and accuracy.
+60d ago
Data Bricks - Solution Designer
Pyramid Global Technologies
Melbourne VIC 3004•Full time
~$350k+(Estimated)
KEY POINTS WE FOUND
- Design and deploy Databricks platforms on cloud services such as AWS, Azure, or Google Cloud.
- Guide clients in implementing big data projects and streamline machine learning lifecycles.
- Build and deploy data engineering pipelines using CI/CD best practices.