Jobs/Data Engineer


Data Engineer



Agency / Department

Experience Level


Employment Type


Expected Rate (inc. Super)

$135 per hour***


Australian Capital Territory


Geoscience Australia is looking to fill a role for a Data Engineer to work on developing and applying scalable data science workflows for Digital Earth Australia and Digital Earth Africa. The role will involve creating data pipelines and processing techniques that work in both super computer and in cloud computing environments. There will be opportunities to work with internal and external stakeholders, including collaborations on exciting projects around the world. You will be supported in maintaining, improving and fostering collaboration on open source software including the Open Data Cube project. This is a great chance to work in an inclusive team and to interact with peers from around the world in working on open data and open source software to make Earth observation data easier to access and in doing so, help us to make the world a little better.


The Data Engineer will:

  1. Create and maintain operational data processing pipelines
  2. Work with others to continue to develop and maintain the Open Data Cube Explore new ways of processing data that save time and deliver improved outcomes
  3. Work together with a diverse team of people to develop maintainable and well documented code
  4. Work with cloud engineers to help build and run cloud native solutions
  5. Provide technical advice to software engineers, data scientists and executive stakeholders via Slack, Github, email and formal documentation
  6. Join program-wide coordination ceremonies such as daily stand ups, three week sprints and program increment planning
  7. Engage with the open source community

Essential Criteria

  1. Extensive experience with Python and/or similar programming languages
  2. Extensive experience with source control management and related processes
  3. Ability to communicate effectively with technical and non-technical stakeholders
  4. Working knowledge of AWS and infrastructure as code
  5. Degree or equivalent experience in a relevant field
  6. Knowledge of Linux system administration and relevant scripting languages

Desired Criteria

  1. Knowledge of Geographic Information Systems and experience working with large volumes of raster data
  2. Experience working with Postgresql and PostGIS
  3. Experience using Docker and Kubernetes
  4. Experience with Flask Python framework or equivalent
  5. Experience using distributed computing tools like Dask

Security Clearance


**Please refer to our Terms and Conditions for more information regarding the expected rate



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