Foundry Data Engineer: AI-Driven Platform Builder

EPAM Systems; Poland; Hybrid; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Hybrid work

Remote within Poland

Relocation assistance

Employee stock plan

Referral bonuses

Job summary

EPAM Systems is seeking a Palantir Data Engineer to join our team. You will contribute to an Azure-based data platform and a Palantir-based data platform, enabling AI-powered capabilities for standardized frameworks, automated documentation, and intelligent decision support across enterprise clients.

You will build data pipelines, design ontology-driven datasets, and integrate REST APIs, SharePoint, and enterprise systems while collaborating with business and product teams to deliver scalable,

Qualifications

• 3+ years of experience in data engineering and data modeling.
• Palantir Foundry expertise with hands-on development experience.
• Proficiency in PySpark and Python programming.
• Experience with data connection for APIs and external transforms.
• Knowledge of data quality principles and ontology design.
• Proficiency in English at a B2+ level.

Responsibilities

• Build and optimize data pipelines and models in Palantir Foundry.
• Design ontology-driven datasets and ensure high data quality.
• Integrate solutions with REST APIs, SharePoint, and enterprise systems.
• Develop scalable, production-ready implementations aligned with client needs.
• Collaborate closely with business and product teams to ensure effective delivery.

Skills

PySpark

Python

REST APIs

Tools

Palantir Foundry

SharePoint

Job description

EPAM Systems is seeking a Palantir Data Engineer to join our team. You will contribute to an Azure-based data platform and a Palantir-based data platform, enabling AI-powered capabilities for standardized frameworks, automated documentation, and intelligent decision support across enterprise clients.

You will build data pipelines, design ontology-driven datasets, and integrate REST APIs, SharePoint, and enterprise systems while collaborating with business and product teams to deliver scalable,