Data Engineer: Onboarding & Automation for Defence

Data Engineer: Onboarding & Automation for Defence

Full-Time 82800 - 101200 $ / year (est.) On-site
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At a Glance

  • Tasks: Onboard data to an Enterprise Data Platform while ensuring security and compliance.
  • Company: Whizdom, a key player in Defence data engineering.
  • Benefits: Competitive pay, potential contract extensions, and impactful work.
  • Other info: Must be an Australian citizen with current NV1 clearance.
  • Why this job: Join a vital mission supporting national security through data innovation.
  • Qualifications: Experience in data engineering, ETL management, and automation required.

The predicted salary is between 82800 - 101200 $ per year.

Whizdom is seeking a skilled Data Engineer to support sensitive internal investigations for a federal government department.

This full-time role involves onboarding data to an Enterprise Data Platform while ensuring security and compliance.

The ideal candidate will have strong experience in data engineering, ETL management, and automation of data pipelines, particularly in the Defence industry.

The position is initially a 3-month contract with potential extensions, based in Canberra.

Australian citizenship and current NV1 clearance are mandatory.

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Data Engineer: Onboarding & Automation for Defence employer: Whizdom

Join a highly regarded organisation in Brisbane Northside that values innovation and collaboration, offering a hybrid working arrangement to support work-life balance. As a Senior Systems Administrator, you'll be part of a dynamic team driving significant infrastructure transformation projects, with ample opportunities for professional growth and development in enterprise-scale technologies. Enjoy the benefits of working on high-profile initiatives while contributing to a supportive and technically proficient environment.

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Contact Details:

Whizdom Recruitment Team

We think you need these skills to ace Data Engineer: Onboarding & Automation for Defence

Python
Automation
Data Engineering
Communication Skills
Data Governance
SQL
Data Pipeline Development