Palantir Data Engineer

Palantir Data Engineer

Our client, a leading global supplier for IT services, requires Palantir Data Engineer to be based at their client's office in London, UK.

This is a hybrid role - you can work remotely in the UK and attend the London office 2-3 days per week.

This is a 12 month temporary contract to start ASAP

Day rate: Competitive Market rate

Our client is looking for looking for Palantir Foundry Data Engineer/Palantir Developer with strong expertise in data engineering, Python, and distributed data processing.

Key Responsibilities

• Build and maintain Palantir Foundry ontologies, pipelines, and applications.
• Design and develop scalable ETL/data engineering solutions using Python and PySpark.
• Integrate and transform data from multiple enterprise data sources.
• Optimize Spark-based data processing and workflow performance.
• Collaborate with business stakeholders to deliver analytics and AI-ready data products

Key Requirements

• Palantir Platform Expertise
• Working with Foundry Ontology, pipelines, and modular applications.
• Implementing End to End data Solutions in Palantir sourcing data from
• Programming & Scripting (Python and PySpark)
• Data Processing & Automation: Ability to clean, transform, and process large datasets efficiently.
• Integration with Palantir Foundry: Build custom Python functions and libraries to extend Foundry's capabilities.
• Pipeline Development: Write modular, reusable code for ETL workflows and data transformations.
• Performance Optimization: Use Python libraries like Pandas, NumPy, and PySpark for scalable data operations.
• Familiarity with SQL for querying and data modelling. - Good to have
• Data Engineering Fundamentals
• Building ETL pipelines for ingestion and transformation.
• Designing data models and optimizing workflows.
• Handling structured and unstructured data.
• Big Data & Distributed Systems
• Experience with Spark (PySpark) for scalable data processing.
• Understanding of parallel computing and performance tuning

Due to the volume of applications received, unfortunately we cannot respond to everyone.

If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion.