Lead Data Engineer - Geospatial & Cloud ML Pipelines

Onpoint 365

Canberra

On-site

AUD 107,000 - 121,000

Full time

2 days ago
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Job summary

Onpoint 365 in Australia is seeking an EL1 Lead Data Engineer to join a federal government data team onsite in Canberra. The role focuses on building scalable geospatial data platforms in cloud environments, developing data pipelines, and ensuring secure, reliable delivery of scientific data products.

You will lead software development standards, mentor engineers, and drive automation through CI/CD and testing pipelines, while embedding security and performance improvements across projects.

Qualifications

  • Experience with large geospatial datasets in cloud environments.
  • Understanding of data governance and access controls.
  • Experience guiding data processes, systems, and tooling.

Responsibilities

  • Design, develop, test, validate, optimise, and document machine learning workflows.
  • Support data ingestion and transformation pipelines.
  • Contribute to development, testing, and maintenance of data platform codebases.
  • Provide technical guidance to stakeholders and end users.
  • Identify and implement improvements to algorithms, systems, and processes.
  • Develop and optimise automated testing and deployment pipelines in cloud environments.
  • Support availability, performance, and reliability of systems and services.
  • Embed security practices into SDLC and CI/CD pipelines.
  • Support ongoing data operations and administrative activities as required.
  • Foster a collaborative, inclusive, high-performing team culture.

Skills

Data engineering
Python programming
Containerisation
Cloud platforms
Geospatial data
CI/CD
Automated testing
Security practices

Job description

Onpoint 365 in Australia is seeking an EL1 Lead Data Engineer to join a federal government data team onsite in Canberra. The role focuses on building scalable geospatial data platforms in cloud environments, developing data pipelines, and ensuring secure, reliable delivery of scientific data products.

You will lead software development standards, mentor engineers, and drive automation through CI/CD and testing pipelines, while embedding security and performance improvements across projects.

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