Palantir Data Engineer

  • Temporary
  • London
  • Negotiable GBP / Year

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 modeling. – 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.

Please do keep an eye on our website https://projectrecruit.com/jobs/ for future roles

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