Data Engineer
Nscale is a London-based, full-stack AI cloud and infrastructure company that provides GPU compute, managed AI services, orchestration software, data centers, and power infrastructure for AI training, fine-tuning, and inference.
Funding history
About Nscale
Nscale builds and operates vertically integrated AI infrastructure spanning software, GPU compute, networking, storage, purpose-built data centers, and power. Its active cloud platform offers self-service inference endpoints, fine-tuning, managed Kubernetes and Slurm, virtual machines, and GPU clusters.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design and operate scalable data pipelines, models, and datasets across infrastructure, platform, and business systems. You will build Palantir Foundry data products, enable self-service analytics, implement quality and governance controls, and own projects from design through production.
Requirements
- Hands-on Palantir Foundry experience
- Experience with ontology modeling, pipeline development, API integration, and data platform design
- Python proficiency
- Experience with Spark, PySpark, Dask, or pandas
- Experience with REST, GraphQL, and Foundry Action APIs
- Experience with Git workflows, code review, version control, and CI/CD
- Ability to work in ambiguous early-stage environments
- Ability to communicate data concepts to technical and non-technical stakeholders
Responsibilities
- Design and build scalable data pipelines
- Define data models and schemas
- Clean, transform, and structure data
- Implement Foundry permissioning, access management, and security
- Create trusted datasets and metrics
- Enable self-service analytics through data contracts, documentation, and semantic layers
- Build data products for capacity planning, cost optimization, reliability analysis, and customer reporting
- Implement data quality checks, monitoring, and alerting
- Establish data lineage, versioning, access control, and governance
- Own projects from design through production and iteration
Benefits
- Equity
- Flexible workplace
- Remote-first work
Hiring Process
Phone screen; coding interviews; hiring manager interview