Palantir Data Engineer - 12 months - London - £750/day - Inside IR35

• Build and maintain Palantir Foundry ontologies, pipelines, and modular applications
• Design and develop scalable ETL and data engineering solutions using Python and PySpark
• Integrate and transform data from multiple enterprise data sources within the Palantir Foundry platform
• Build custom Python functions and libraries to extend Foundry's capabilities and support pipeline development
• Optimise Spark-based data processing and workflow performance using Python libraries including Pandas, NumPy, and PySpark
• Handle structured and unstructured data, designing data models and optimising ETL workflows throughout
• Collaborate with business stakeholders to deliver analytics and AI-ready data products

We are seeking an experienced Palantir Foundry Data Engineer to join a global technology services organisation on a 12-month hybrid contract based in London (2-3 days per week on-site). The successful candidate will have strong expertise in Palantir Foundry, Python, and distributed data processing, delivering scalable end-to-end data engineering solutions and analytics-ready data products for a major financial services client., * Proven hands-on experience with Palantir Foundry, including Foundry Ontology, pipelines, and modular application development (essential)

• Strong Python and PySpark development skills, with experience building modular, reusable ETL workflows and data transformations (essential)
• Solid understanding of data engineering fundamentals including ingestion, transformation, data modelling, and workflow optimisation
• Experience with big data and distributed systems, including Spark and parallel computing with performance tuning
• Ability to clean, transform, and process large datasets efficiently at scale
• Desirable: familiarity with SQL for querying and data modelling