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Senior Palantir Foundry Data EngineerOn-Site

LocationSydney NSW, Australia
Work TypeContract/Temp
Positions1 Position
Published At:2 days ago
  • Data Engineering
  • NV1 Clearance
  • NV2 Clearance
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Job no: X8YH6
  • Sydney, Adelaide or Canberra office locations
  • NV1, NV2 or TSPV clearance required

Build data products and operational analytics applications that support decision-making in secure environments.

We are seeking an experienced, hands-on Senior Palantir Foundry Engineer to join a small, high-performing team.

You will combine data engineering, application development and technical leadership to deliver reliable, production-grade solutions.

What you’ll do

  • Develop and maintain Foundry data pipelines and ontology-driven data models.
  • Build operational analytics applications using Workshop and Quiver.
  • Deliver data ingestion, transformation, monitoring and downstream application integration.
  • Support modern cloud-native engineering and secure platform delivery.
  • Maintain production reliability through monitoring, service level agreements (SLAs) and incident response.
  • Drive engineering standards, conduct code reviews and mentor team members.

What you’ll bring

  • Strong analytics engineering or data engineering experience.
  • Hands-on Palantir Foundry expertise across Code Repositories, Pipeline Builder, Ontology and Workshop.
  • Strong SQL and data modelling skills.
  • Experience supporting production data pipelines, monitoring, SLAs and incident response.
  • Experience with Git-based engineering workflows and CI/CD practices.
  • Strong communication skills and the ability to engage effectively with stakeholders.
  • A current NV1, NV2 or TSPV security clearance is essential.

Highly regarded

  • Python and PySpark experience.
  • Workshop and Quiver application development.
  • Streaming technologies, including Kafka.
  • API integration and onboarding experience.

Apply now to bring your Foundry expertise to a team where you can shape engineering practices and deliver applications with operational impact.

  • Published on 08 Oct 2026, 1:38 AM