Senior Palantir Foundry Data Engineer | Scalable Pipelines

Falcon Chase International; Ouzlewell Green; On-site; GBP 70,000 - 110,000; Full time

Job summary

Falcon Chase International is seeking an experienced Data Engineer with strong Palantir Foundry expertise to design, build, and optimize scalable data pipelines and semantic models. You will collaborate with data scientists, analysts, and business stakeholders to deliver robust data foundations for analytics, automation, and operational decision-making.

The role emphasizes reliability, performance, scalability, data quality, and long-term sustainability, with 5+ years in data engineering and 1–2

Qualifications

• 5+ years in Data Engineering, including 1–2 years hands-on Palantir Foundry experience.
• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
• Proven experience with Palantir Foundry in a production environment.
• Strong proficiency in Python, SQL, PySpark, and Spark SQL.
• Experience delivering production-grade data pipelines in cloud environments (AWS/Azure/GCP).
• Knowledge of data modelling, metadata management, data quality and governance.

Responsibilities

• Design, build, and maintain end-to-end data pipelines using Palantir Foundry.
• Develop batch, incremental, and streaming ETL/ELT workflows.
• Create and manage semantic data layers and ontologies.
• Ensure data quality, lineage, monitoring, and governance.
• Collaborate with data scientists, analysts, and stakeholders to deliver scalable data products.

Skills

Data engineering

Python

SQL

PySpark

Spark SQL

Data modelling

Governance & quality

CI/CD knowledge

Communication

Problem solving

Education

Bachelor's or Master's in Computer Science / Engineering / Information Systems

Tools

Palantir Foundry

Foundry Workshop

Quiver

Ontology

Code Repositories

Job description

Falcon Chase International is seeking an experienced Data Engineer with strong Palantir Foundry expertise to design, build, and optimize scalable data pipelines and semantic models. You will collaborate with data scientists, analysts, and business stakeholders to deliver robust data foundations for analytics, automation, and operational decision-making.

The role emphasizes reliability, performance, scalability, data quality, and long-term sustainability, with 5+ years in data engineering and 1–2