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Data Engineer (PySpark + Palantir Foundry) @ Crestt

CresttRemote, Poland

9 days ago

Job description

Hi! We are looking for experienced Data Engineers to join a strategic project within the healthcare sector for one of the world’s leading life science companies. You will be working on data migration and ETL / ELT process development in Palantir Foundry

Rate : 180–250 PLN / hour (B2B)
Start date : August 2025
Location : 100% remote
Engagement : full-time
Own equipment required

Technical & organizational notes :

Work is fully remote and asynchronous — you choose your working hours and location

Candidates must use their own hardware (PC and / or laptop)

Sprint cycles last 3 weeks , with planning and review handled by the Product Owner

Interviews will be scheduled next week — apply now to secure your spot on this impactful, high-profile project!

Advanced knowledge of PySpark and Python

Hands-on experience with Palantir Foundry (data modeling, data flows, ETL / ELT)

Familiarity with Data Lake concepts and tools like Azure DevOps , Jira , and Confluence

Experience working in Scrum -based environments

Ability to work independently and consult effectively with project teams and stakeholders

Rate : 180–250 PLN / hour (B2B)

Start date : August 2025

Location : 100% remote

Engagement : full-time

Own equipment required

Technical & organizational notes :

Work is fully remote and asynchronous — you choose your working hours and location

Candidates must use their own hardware (PC and / or laptop)

Sprint cycles last 3 weeks , with planning and review handled by the Product Owner

Interviews will be scheduled next week — apply now to secure your spot on this impactful, high-profile project!

Design and implement data flows and Data Lake structures using PySpark in Palantir Foundry , Develop and maintain documentation in Confluence , Estimate and deliver tasks assigned via ticketing systems (e.g., Azure DevOps, Jira) , Participate in Scrum ceremonies and collaborate with the Product Owner during sprint reviews , Provide consultations and support to team members and end users on implemented solutions , Build ETL pipelines in accordance with Merck’s architectural standards ] Requirements : PySpark, ETL, Data Lake, Confluence, Jira, Python, Data modeling, Azure DevOps, Scrum, Palantir Foundry, ELT Additionally : Remote work.

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Data Engineer • Remote, Poland