Data Engineer

About the role

We’re looking for a Data Engineer 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.

Responsibilities

• Data Platform & Architecture 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.
• Data Products & Enablement
• 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.
• Reliability, Quality & Governance
• 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.
• Early-Stage Ownership & Growth
• 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.

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.

Nice to have

• 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.

What we can offer you

• Hightly competitive package (base + equity) with reviews every 12 months.
• Human-First Flexibility: We treat you as humans first.
• Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI.
• Dynamic progression plan tailored to your ambitions.
• Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support.
• 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.