Data Engineer

HeadHR; Kraków; On-site; PLN 140,000 - 200,000; Full time

Job summary

HeadHR is seeking a Data Engineer in Kraków to build robust data pipelines, model data with dbt, and connect Snowflake with Palantir Foundry for global client analytics. You will own data architecture decisions, work with unstructured and structured data, and help shape our AI-assisted developer tools.

The role emphasizes hands-on data modeling, platform integration, and a proactive ownership mindset, with daily collaboration with the US team.

Qualifications

• 3-5 years of commercial experience in Data Engineering.
• Strong proficiency in SQL and Python.
• Experience with Snowflake and dbt (or similar tools like BigQuery/Databricks).
• Data warehousing and modeling best practices.
• Excellent English communication (written and spoken).
• Ownership mindset, willingness to learn new tools quickly, and ability to think independently.

Responsibilities

• Data Ingestion & Integration: Building pipelines to ingest unstructured data (e.g., complex PDFs) and structured data into Snowflake.
• Modeling: Designing and implementing high-quality data models using dbt, ensuring they are scalable and efficient.
• Platform Synergy: Integrating Snowflake data with Palantir Foundry to support operational analytics for global clients (e.g., in the real estate and invoicing sectors).
• AI Feedback Loop: Using and providing feedback on our custom-built AI tools, helping the engineering team refine our coding assistants.
• Ownership: Proactively identifying bottlenecks and pushing back on suboptimal data modeling decisions.

Skills

SQL

Python

English communication

Tools

Snowflake

dbt

Job description

As a Data Engineer, you will join the team led by a well-know Data Engineering specialist followed by over 120k users on Youtube.You will be responsible for building robust data pipelines, integrating complex datasets, and helping shape the future of their internal AI-driven developer tools. This is a unique opportunity to work on a “brownfield” project where you have a real impact on the architecture and product direction.

Your Role

• Data Ingestion & Integration: Building pipelines to ingest unstructured data (e.g., complex PDFs) and structured data into Snowflake.
• Modeling: Designing and implementing high-quality data models using dbt, ensuring they are scalable and efficient.
• Platform Synergy: Integrating Snowflake data with Palantir Foundry to support operational analytics for global clients (e.g., in the real estate and invoicing sectors).
• AI Feedback Loop: Using and providing feedback on our custom-built AI tools, helping the engineering team refine our coding assistants.
• Ownership: Proactively identifying bottlenecks and pushing back on suboptimal data modeling decisions.

Kogo poszukujemy?

Requirements

• Experience:3-5 years of commercial experience in Data Engineering.
• Core Tech:Strong proficiency inSQLandPython(we value a solid baseline and understanding of “why” code works).
• Tools:Experience withSnowflakeanddbt(or similar tools like BigQuery/Databricks/Postgres).
• Data Modeling:Practical knowledge of data warehousing and modeling best practices.
• Communication:Excellent English (written and spoken) to collaborate daily with the US-based team.
• Mindset:A high sense of ownership, willingness to learn new tools quickly, and the ability to think independently.

Nice to have

• Experience withPalantir Foundry(this is a rare skill - if you don’t know it, they will teach you!).
• Background in processing unstructured data (PDF parsing, OCR).

What We Offer

• Work with a Legend:Direct collaboration
• High-End Hardware:New MacBook Pro provided.
• Growth:The chance to learn Palantir, one of the most powerful and exclusive data platforms on the market.
• Flexibility:Outcome-based culture with flexible working hours (requires daily syncs with the US team, usually around 4 PM - 5 PM CET).