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Nscale

Develops and operates AI data centers

Workflow Builder

Data Management +1Confirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 5 years of data engineering experience in fast-moving environments.
  • Proficiency in Python and TypeScript, with experience using Git.
  • Hands-on experience deploying and building in Palantir Foundry.
  • Ability to turn ambiguous briefs into shipped, adopted products.
  • Comfort working across all levels of an organization.

Responsibilities

  • Own the end-to-end enterprise data and application roadmap, from use-case identification through production rollout.
  • Implement standards for data ingestion, pipeline orchestration, semantic modeling, and governance across analytics systems.
  • Manage canonical data models, ontologies, role-based access control, and access frameworks.
  • Integrate operational and AI systems into a unified data fabric, with feedback loops to track performance and reliability.
  • Drive platform adoption through onboarding, documentation, and self-service tooling.
  • Contribute to the internal Palantir Center of Excellence, including vendor engagement.

About the Company

Nscale

Develops and operates AI data centers

Nscale provides end-to-end AI infrastructure by designing, owning, and operating data centers, GPU compute, networking, storage, and managed AI cloud services for enterprises, governments, and AI developers. It offers a full stack from colocated data centers to high-performance GPUs and networking, plus managed cloud services, so customers can run AI workloads efficiently with sovereign European deployments powered by renewables and US campus expansions. Unlike many peers, Nscale combines complete infrastructure ownership with a focus on sovereign, renewable-powered sites and strong capital partnerships to support large-scale, secure AI workloads. Its goal is to become a leading, scalable AI infrastructure provider that enables governments, enterprises, and AI builders to deploy and run AI applications quickly and securely on sovereign data centers with global capacity.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$9.8B
Headquarters
London, United Kingdom
Founded
2024

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