Product Engineer
On-siteLondon, England, United Kingdom
Job Summary
Understand new and emerging customer use cases by collaborating with Forward Deployed Engineers, product managers, and end users. Translate those use cases into configurable, reusable platform functionality deployed across multiple customers using Palantir Foundry templates. Design and build scalable data models, workflows, and abstractions that support high variation without custom code, while developing and extending generative AI workflows and system capabilities. Build and maintain robust data integration capabilities using PySpark and other distributed technologies, balancing short-term delivery with long-term platform coherence and extensibility. Contribute to architectural decisions that shape the evolution of the STRATOS platform.
Required Qualifications
- 2–6 years of experience in data engineering, analytics engineering, or product-focused engineering roles
- Experience working on platforms or products, not just one-off implementations
- The ability to translate complex, ambiguous business problems into clean, extensible technical solutions
- Strong fundamentals in Python, PySpark, and SQL
- Comfortable working in fast-moving startup environments where requirements evolve quickly and can be unclear
Desired Qualifications
- Experience with Palantir Foundry, or experience with tools such as Databricks, Snowflake, DBT and Airflow
- Comfortable working with Typescript
- Knowledge of API design and backend product development
- Familiarity with enterprise systems such as ERP (e.g. SAP, Oracle) or CRM platforms
- Exposure to generative AI systems, orchestration frameworks, or AI-enabled workflows
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