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.
Key Responsibilities
- 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
What You Will Ideally Bring:
- 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
Contract Details:
- Duration: 12 months
- Rate: £750/day - Inside IR35
- Location: London (Hybrid - 2-3 days on-site)
- Start Date: ASAP