Data Engineer

About Nscale

Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers.  Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.

We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future.

About the Role

We’re looking for a Data Engineer to help design, build, and operate the data foundations that underpin Nscale’s platform, internal operations, and customer-facing capabilities.

This is a high-impact, early-stage role. You’ll work closely with Operations, Infrastructure, Platform Engineering, Product, and Commercial teams to turn raw operational signals — from GPUs, clusters, customers, and internal systems — into reliable, scalable data products that ensure delivery at a previously unseen pace. You’ll help define how data is collected, modelled, served, and trusted across the company, and have the opportunity to build on Palantir Foundry, as well as other products.

This role is ideal for someone who enjoys building data systems from first principles, thrives in ambiguous environments, and wants to see their work directly influence product decisions, platform reliability, and customer outcomes.

What you'll be doing

Data Platform & Architecture

• Design and build scalable, reliable data pipelines that ingest data from infrastructure, platform services, and business systems.
• Define data models and schemas that support operational workflows and use cases across the business, monitoring, and analytics.
• Clean, transform and structure the data to create a digital twin of Nscale.
• Implement permissioning and manage access and security of the Foundry implementation.

Data Products & Enablement

• Create trusted datasets and metrics that power workflows and processes, internal tools, and customer-facing insights.
• Enable self-serve analytics by establishing clear data contracts, documentation, and semantic layers.
• Build use cases including but not limited to capacity planning, cost optimisation, reliability analysis, and customer reporting to drive our business forward.