Macquarie Group
Data Engineer
Skills
14 days ago
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Important information
Contract type:
Permanent
Location:
Indonesia
Work mode:
Onsite
Published on:
6 October 2026
What they need
Additional office locations
Sydney
Job ID
24167
Date
28-Sep-2026
Permanent - Full time, Mid-level
Job category
Technology - Engineering
Strong experience operating and supporting cloud-based data platforms in AWS, including monitoring, incident management, root cause analysis and performance optimisation across data pipelines, orchestration frameworks and platform services.
Proven experience owning analytical data solutions in production, with responsibility for platform reliability, scalability, observability and cost optimisation in cloud environments.
Deep expertise in SQL, dbt and AWS data services, particularly Redshift, S3 and Glue, with the ability to build, optimise and maintain robust data models and transformation pipelines.
Experience designing, building and delivering scalable, production-grade analytical data products that support enterprise reporting, analytics and data-driven decision making.
Strong focus on engineering excellence, including automation, testing, data quality, monitoring and operational best practices to ensure reliable and performant data solutions.
Strong experience operating and supporting cloud-based data platforms in AWS, including monitoring, incident management, root cause analysis and performance optimisation across data pipelines, orchestration frameworks and platform services.
Proven experience owning analytical data solutions in production, with responsibility for platform reliability, scalability, observability and cost optimisation in cloud environments.
Deep expertise in SQL, dbt and AWS data services, particularly Redshift, S3 and Glue, with the ability to build, optimise and maintain robust data models and transformation pipelines.
Experience designing, building and delivering scalable, production-grade analytical data products that support enterprise reporting, analytics and data-driven decision making.
Strong focus on engineering excellence, including automation, testing, data quality, monitoring and operational best practices to ensure reliable and performant data solutions.
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