Data Engineer at G8 Education Limited
South Australia, New South Wales, Australia -
Full Time


Start Date

Immediate

Expiry Date

27 Dec, 26

Salary

60000.0

Posted On

28 Sep, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Services

Description

This is a greenfield project, offering the opportunity to shape new solutions while leveraging existing platforms and best practices already established across the organisation.


Key Responsibilities

  • Design, build, and maintain scalable data pipelines and data warehouse solutions
  • Develop and optimise data models to support analytics and reporting use cases
  • Work with stakeholders to understand data requirements and deliver high-quality data solutions
  • Contribute to DataOps/DevOps practices, including pull requests, deployments, and CI/CD processes
  • Support and continuously improve existing data pipelines and warehouse structures
  • Collaborate within an agile delivery environment to deliver incremental value

What We're Looking For

  • 7-8+ years' experience in data engineering or data warehousing roles
  • Strong hands-on experience with Snowflake, DBT, and SQL (essential)
  • Solid experience with DataOps/DevOps practices, ideally within an Azure environment
  • Proven experience in data modelling and enterprise data warehouse design
  • End-to-end data warehousing experience (ETL/ELT, modelling, reporting/analytics enablement)
  • Experience working with SQL-based data tools and modern data platforms
  • Exposure to AWS is beneficial
  • Experience with Informatica Intelligent Data Management Cloud (IDMC) is highly regarded
  • Background in insurance or claims data is preferred
  • Strong analytical thinking and problem-solving capability (including working in environments with AI-assisted tooling)
  • Experience working in agile frameworks (e.g. SAFe)
  • Excellent communication skills and ability to engage with technical and non-technical stakeholders

Why Apply?

Responsibilities

This is a greenfield project, offering the opportunity to shape new solutions while leveraging existing platforms and best practices already established across the organisation.


Key Responsibilities

  • Design, build, and maintain scalable data pipelines and data warehouse solutions
  • Develop and optimise data models to support analytics and reporting use cases
  • Work with stakeholders to understand data requirements and deliver high-quality data solutions
  • Contribute to DataOps/DevOps practices, including pull requests, deployments, and CI/CD processes
  • Support and continuously improve existing data pipelines and warehouse structures
  • Collaborate within an agile delivery environment to deliver incremental value

What We're Looking For

  • 7-8+ years' experience in data engineering or data warehousing roles
  • Strong hands-on experience with Snowflake, DBT, and SQL (essential)
  • Solid experience with DataOps/DevOps practices, ideally within an Azure environment
  • Proven experience in data modelling and enterprise data warehouse design
  • End-to-end data warehousing experience (ETL/ELT, modelling, reporting/analytics enablement)
  • Experience working with SQL-based data tools and modern data platforms
  • Exposure to AWS is beneficial
  • Experience with Informatica Intelligent Data Management Cloud (IDMC) is highly regarded
  • Background in insurance or claims data is preferred
  • Strong analytical thinking and problem-solving capability (including working in environments with AI-assisted tooling)
  • Experience working in agile frameworks (e.g. SAFe)
  • Excellent communication skills and ability to engage with technical and non-technical stakeholders

Why Apply?

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