Full Stack Developer - Palantir, Python/Spark, TypeScript/React

Our client is currently looking to recruit a Full Stack Developer with Palantir Foundry and Azure Cloud expertise, along with Python/PySpark, TypeScript/React to join a high-performing Data & AI team working on enterprise-scale analytics, reporting, and AI-driven initiatives.

This role offers the chance to work on complex, meaningful data platforms where your contributions will directly influence key business insights and decision-making.

The Developer will spend time designing and building scalable Back End data pipelines in Palantir Foundry, while also developing Front End experiences that make advanced analytics accessible to users across the business.

What the Full Stack Developer with Palantir Foundry and Azure Cloud will be doing:

• Designing, building, and optimizing scalable Back End data pipelines using Python and PySpark in Palantir Foundry (approx. 70%)
• Developing interactive dashboards and Front End features using TypeScript and React (approx. 30%)
• Creating robust feature engineering pipelines and integrating ML models to deliver clean, reliable, and auditable datasets
• Implementing DataOps and MLOps best practices for deployment, monitoring, and governance
• Translating complex analytics and AI requirements into production-ready data products
• Contributing to GenAI and LLM-driven features, including prompt engineering and agentic workflows
• Collaborating closely with engineering, product, and business stakeholders to deliver end-to-end solutions
• Continuously improving data architecture, scalability, and usability

Key skills for the Full Stack Developer with Palantir Foundry and Azure Cloud:

• Experience building and deploying full-stack, data-centric applications
• Hands-on experience with Palantir Foundry (key requirement)
• Backend experience using Python and PySpark
• Frontend development experience with TypeScript, JavaScript, React, or similar frameworks
• Proven ability to translate Back End data outputs into user-friendly interfaces
• Exposure to LLM orchestration and agentic frameworks (eg LangChain, LangSmith, LlamaIndex)
• Experience working in cloud environments, ideally Azure
• A proactive, adaptable mindset with a strong willingness to learn and collaborate

Essential Toolkit

Backend: Python, PySpark, Palantir Foundry, REST/GraphQL, PostgreSQL Frontend: TypeScript, JavaScript, React AI/ML: pandas, numpy, scikit-learn, matplotlib, MLflow (or similar) GenAI: LLM orchestration and agentic frameworks DevOps/DataOps: CI/CD pipelines, Git Cloud: Azure (AWS exposure a plus)