Data Engineer

Nscale is a GPU cloud company engineered for AI, providing high-performance infrastructure for AI start-ups and large enterprises. They are seeking a Data Engineer to design, build, and operate data foundations that support their platform and operations, playing a critical role in developing scalable data products and ensuring data quality and governance.

Responsibilities

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

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

Collaborate with Product and Commercial teams to translate real-world questions into robust data solutions

Implement data quality checks, monitoring, and alerting to ensure data correctness and availability

Codify data lineage, freshness, and consistency across systems

Establish best practices around data versioning, access control, and governance appropriate for a fast-scaling company

Continuously improve system resilience and observability

Take end-to-end ownership of projects, from design through to production and iteration

Help define standards, tooling, and ways of working for data at Nscale

Contribute to technical decision-making as the company scales its platform and customer base

Act as a thought partner to engineers and operators, not just a service function

Preferred

Experience with cloud platforms (AWS, GCP, Azure) and infrastructure telemetry

Familiarity with distributed systems, monitoring data, or usage-based billing data

Experience supporting customer-facing data products or platforms

Cloud platforms experience

Infrastructure telemetry

Distributed systems familiarity

Monitoring data

Usage-based billing data

Customer-facing data products experience

Benefits

Highly competitive package (base + equity) with reviews every 12 months.

Dynamic progression plan tailored to your ambitions.

Human-First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.

Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work.

Company

Full-stack AI cloud and GPU infrastructure

London, England, GBR

https://www.nscale.com/

Founded in 2024

201-500 employees

Qualifications

Deep, hands-on experience building in Palantir Foundry, including ontology modelling, pipeline development, API integration, and large-scale data platform design

Strong proficiency in Python, with experience applying data engineering libraries and frameworks (e.g. Spark, PySpark, Dask, pandas) to work with large, complex datasets

Familiarity with API-driven data integration, including REST, GraphQL, and Foundry Action APIs

Practical experience working in Git-based development workflows, including code reviews, version control, and CI/CD pipelines

Comfort working in ambiguous, early-stage environments where requirements evolve quickly

Strong communication skills — able to explain data concepts clearly to technical and non-technical stakeholders

A bias toward ownership, pragmatism, and shipping useful solutions

Experience with cloud platforms (AWS, GCP, Azure) and infrastructure telemetry

Familiarity with distributed systems, monitoring data, or usage-based billing data

Experience supporting customer-facing data products or platforms

Required skills

Palantir Foundry, Ontology Modelling, Pipeline Development, API Integration, Data Platform Design, Python, Spark, PySpark, Dask, Pandas, REST API, GraphQL, Foundry Action APIs, Git, CI/CD Pipelines, Pragmatism

Experience

Mid level