£500 Per day
Undetermined
Remote
London
Summary: The role of Palantir Foundry Data Engineer involves designing, building, and optimizing scalable data pipelines and products using Palantir Foundry. The position requires collaboration with data scientists, analysts, and business stakeholders to create reliable data foundations for analytics and decision-making. This is a remote position with potential travel to client sites. The contract is initially for three months with a competitive day rate.
Key Responsibilities:
- Design, build, and optimize scalable data pipelines and semantic models.
- Collaborate with data scientists, analysts, product teams, and business stakeholders.
- Deliver robust, production-grade data foundations for analytics and operational decision-making.
- Ensure reliability, performance, and long-term sustainability of the data ecosystem.
Key Skills:
- Strong experience in data engineering.
- Proven hands-on experience with Palantir Foundry in a production environment.
- Proficiency in Python, SQL, PySpark, and Spark SQL.
- Experience delivering production pipelines in AWS, Azure, or GCP environments.
- Solid understanding of data modeling, schema design, metadata management, and governance.
- Familiarity with CI/CD, Git-based workflows, and software engineering best practices.
Salary (Rate): £500/day
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role: Palantir Foundry Data Engineer
Location: Remote working
Day rate: £400pd-£500pd
Contract: 3 month initial
We are currently recruiting for an experienced Data Engineer with strong, hands-on expertise in Palantir Foundry to design, build, and optimize scalable data pipelines, semantic models, and data products. In this role, you will work closely with data scientists, analysts, product teams, and business stakeholders to deliver robust, production-grade data foundations that support analytics, automation, and operational decision-making. You will play a key part in shaping the data ecosystem, ensuring reliability, performance, and long-term sustainability.
Skills and experience required
- Strong experience in data engineering
- Proven, hands-on experience working with Palantir Foundry in a production environment.
- Strong proficiency in Python, SQL, PySpark and Spark SQL
- Experience delivering production pipelines in AWS, Azure, or GCP environments.
- Solid understanding of data modeling, schema design, metadata management, and governance.
- Familiarity with CI/CD, Git-based workflows, and software engineering best practices.
This will be a remote working opportunity, which may require occasional travel to client site, please consider this when applying for the role. If you are interested in the role and would like to apply, please click on the link for immediate consideration.