Remote job
Data Engineer
Job details
About this role
Role overview
A data engineering position focused on building the data foundations for an AI-focused GPU cloud platform. The role is described as high-impact and early-stage, with broad cross-functional collaboration across operations, infrastructure, platform engineering, product, and commercial teams. The successful hire will help shape how data is collected, modelled, served, and trusted across the organisation.
Responsibilities
- Design and build scalable, reliable data pipelines that ingest information from infrastructure, platform services, and business systems. - Define data models and schemas to support operational workflows, monitoring, and analytics across the business. - Clean, transform, and structure data into a coherent digital representation of platform operations. - Implement permissioning, access control, and security for the data platform. - Build trusted datasets and metrics that power internal tools, customer-facing insights, and self-serve analytics through clear data contracts and documentation. - Implement data quality checks, monitoring, alerting, lineage tracking, and governance practices suited to a fast-scaling environment.
Requirements
- Deep, hands-on experience building within a major enterprise data platform such as Palantir Foundry, including ontology modelling, pipeline development, and large-scale data platform design. - Strong proficiency in Python, with experience applying data engineering libraries such as Spark, PySpark, Dask, or pandas to large, complex datasets. - Familiarity with API-driven data integration across REST, GraphQL, and action-style APIs. - Practical experience with 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, with the ability to explain data concepts to both technical and non-technical stakeholders.
Nice to have
- Experience with cloud platforms such as AWS, GCP, or Azure and infrastructure telemetry. - Familiarity with distributed systems, monitoring data, or usage-based billing data. - Experience supporting customer-facing data products or platforms.
Benefits and work setup
- Remote-first team with flexible working arrangements that emphasise autonomy and trust. - Competitive compensation package including base and equity, with reviews on a roughly twelve-month cycle. - Dynamic progression opportunities with exposure to new challenges, leadership opportunities, and ownership of impact.