Nscale

Technology

DataEngineer(ForwardDeployed)

£65–90k ~AI est. Reading, United Kingdom
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Engineer (Forward Deployed) at Nscale. Skills: Palantir Foundry, Data Engineering, Data Pipelines, Data Products. Design scalable data pipelines. Build scalable data pipelines”

Industry & Context.

Technology
Problems you'll solve

Troubleshooting

What They're Looking For.

Must Have

Deep, hands-on experience building in Palantir Foundry, Proficiency in Python, Experience applying data engineering libraries, Familiarity with API-driven data integration, Practical experience working in Git-based development workflows, Comfort working in ambiguous, early-stage environments

Nice to Have

Experience with cloud platforms, Familiarity with distributed systems, Experience supporting customer-facing data products

What You'll Do.

Design scalable data pipelines

Build scalable data pipelines

Operate data foundations

Ingest data from infrastructure

Ingest data from platform services

Ingest data from business systems

Create a digital twin

Implement permissioning

Create trusted datasets

Create trusted metrics

Enable self-serve analytics

Establish clear data contracts

Establish data documentation

Establish semantic layers

Build capacity planning use cases

Build cost optimisation use cases

Build reliability analysis use cases

Build customer reporting use cases

Translate real-world questions

Implement data quality checks

Codify data freshness

Codify data consistency

Establish best practices

Improve system resilience

Improve system observability

Take end-to-end ownership

Define standards for data

Define tooling for data

Define ways of working for data

Contribute to technical decision-making

Act as a thought partner

How You'll Work.

Team & Collaboration

Operations teams; Infrastructure teams; Platform Engineering teams; Product teams; Commercial teams; Technical stakeholders; Non-technical stakeholders

Communication Scope

Explain data concepts

Process & Methodology

CI/CD pipelines

Full Job Description

Note to candidates: This role is based in Reading, UK 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 (Forward Deployed) 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 busi

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