Security-Cleared Palantir Foundry Data Engineer

Searchability NS&D

Greater London

On-site

GBP 51,000 - 85,000

Full time

9 days ago
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Job summary

Searchability NS&D is seeking a Security Cleared Palantir Foundry Data Engineer in London. The role requires active SC or DV clearance and offers mid to lead levels with up to £85k DoE plus package.

Expect circa 3 days on site in London and work within a secure sector team on Palantir platforms to deliver scalable data solutions. You will design, develop and deploy data pipelines, ingest diverse data sources and support applications across the Palantir stack, collaborating across agile teams and

Qualifications

  • Active SC or DV clearance required.
  • Mid to Lead levels available.
  • Experience with Palantir Foundry and Gotham.
  • Data engineering across ETL, pipelines and workflow orchestration.
  • Proficiency in Python and/or TypeScript.
  • Knowledge of CI/CD, Git and SDLC practices.
  • Experience in a Defence or secure-sector is advantageous.

Responsibilities

  • Design, develop and deploy scalable data solutions in Palantir Foundry ecosystem.
  • Build and optimise ETL/data pipelines within Palantir Foundry.
  • Ingest, transform and enrich batch, streaming and real-time data
  • Develop data models and Foundry Ontologies
  • Design scalable Foundry architectures and governance processes
  • Develop user-facing applications using low-code and pro-code approaches
  • Collaborate in Agile teams across the full SDLC, version control and CI/CD

Skills

Palantir Foundry
Palantir Gotham
Python
TypeScript
CI/CD
Data governance
Data modelling
Stakeholder comms

Tools

Git

Job description

Searchability NS&D is seeking a Security Cleared Palantir Foundry Data Engineer in London. The role requires active SC or DV clearance and offers mid to lead levels with up to £85k DoE plus package.

Expect circa 3 days on site in London and work within a secure sector team on Palantir platforms to deliver scalable data solutions. You will design, develop and deploy data pipelines, ingest diverse data sources and support applications across the Palantir stack, collaborating across agile teams and

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