Job VC

About the Role
We are looking for a Senior Data Engineer with hands-on Palantir Foundry experience to design, build, and operate scalable data platforms supporting analytics, operations, and data-driven decision-making. You will work on complex, production-grade data systems and collaborate closely with product, analytics, and engineering teams.

Responsibilities
Design, build, and maintain end-to-end data pipelines using Palantir Foundry
Develop and manage data models, transformations, and workflows within Foundry
Integrate data from multiple sources (APIs, databases, files, event streams)
Ensure data quality, reliability, security, and governance across data products
Optimize performance and scalability of data pipelines and analytics workloads
Collaborate with product managers, analysts, and stakeholders to translate business needs into data solutions
Support analytics, reporting, and advanced use cases (including ML/AI where applicable)
Contribute to best practices, documentation, and data platform standards

Requirements
5+ years of experience as a Data Engineer (senior level)
Strong hands-on experience with
Palantir Foundry
in production environments
Excellent proficiency in
Python
and
SQL
Experience building and operating cloud-based data platforms
Solid understanding of data modeling, ETL/ELT, and data warehousing concepts
Strong focus on data quality, governance, and security
Experience working in Agile, cross-functional teams
Must be located in
Europe

Nice to Have
Palantir Foundry certification
Experience with AWS, Azure, or GCP
Exposure to analytics engineering or data product development
Experience in regulated or enterprise environments
Familiarity with CI/CD and infrastructure-as-code practices

Employment type:
Freelance / Project-based
Duration:
6+ months
Location:
Czech Republic, Hungary, Slovakia (must be based in Europe)
Language:
English (professional working proficiency required)