Data Engineer with Palantir @ Link Group

About the Role

We are looking for a Data Engineer experienced with Palantir Foundry to join a cross-functional team working on large-scale data integration, modeling, and analytics platforms. The ideal candidate is hands-on, proactive, and capable of navigating complex data ecosystems in an enterprise environment.

• 3+ years of experience in Data Engineering
• Hands-on experience with Palantir Foundry in a commercial or enterprise setting
• Proficiency in SQL , Python , and data transformation techniques
• Good understanding of data modeling (dimensional, relational, and graph-based)
• Familiarity with data governance and metadata management
• Experience working in cloud-based environments (AWS, GCP, or Azure)
• Excellent communication skills and ability to work with cross-functional teams

Nice to Have

About the Role

We are looking for a Data Engineer experienced with Palantir Foundry to join a cross-functional team working on large-scale data integration, modeling, and analytics platforms. The ideal candidate is hands-on, proactive, and capable of navigating complex data ecosystems in an enterprise environment.

Design and build data pipelines and models using Palantir Foundry, Integrate multiple data sources (structured and unstructured) into usable, high-quality data assets, Collaborate with data scientists, analysts, and business stakeholders to support advanced analytics initiatives, Apply data governance, lineage, and cataloging principles within Foundry, Develop and maintain Foundry “Objects”, Code Workbooks, and other tooling, Ensure quality, performance, and scalability of the implemented data solutions, Support and document platform usage and development best practices] Requirements : Data engineering, SQL, Python, Data modeling, Data management, AWS, GCP, Azure, Airflow, dbt, Databricks, Snowflake, GDPR Tools : Agile, Scrum.