Data Engineer Forward Deployed
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 data pipelines, models, and Foundry access controls. You will create trusted datasets, enable self-service analytics, build operational use cases, implement data-quality and governance controls, and take projects from design through production.
Requirements
- Palantir Foundry
- Ontology modelling
- Pipeline development
- API integration
- Large-scale data platform design
- Python
- Spark
- PySpark
- Dask
- pandas
- REST
- GraphQL
- Foundry Action APIs
- Git-based development workflows
- Code review
- Version control
- CI/CD pipelines
- Communication skills
Responsibilities
- Design and build scalable data pipelines
- Define data models and schemas
- Clean, transform, and structure data
- Manage Foundry permissions, access, and security
- Create trusted datasets and metrics
- Enable self-service analytics through data contracts and semantic layers
- Build capacity-planning, cost-optimisation, reliability, and customer-reporting use cases
- Implement data quality checks, monitoring, and alerting
- Codify data lineage, freshness, and consistency
- Establish data versioning, access-control, and governance practices
- Own projects from design through production and iteration
Benefits
- Equity
- Flexible workplace
