Data Engineer
⚲ Kraków
14 000–27 000 zł / mies. (zal. od umowy)
Wymagania
- SQL
- Python
Opis stanowiska
Nasze wymagania:
Experience: 3-5 years of commercial experience in Data Engineering.
Core Tech: Strong proficiency in SQL and Python (we value a solid baseline and understanding of “why” code works).
Tools: Experience with Snowflake and dbt (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.
Mile widziane:
Experience with Palantir Foundry (this is a rare skill – if you don’t know it, they will teach you!).
Background in processing unstructured data (PDF parsing, OCR).
Zakres obowiązków:
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.
Oferujemy:
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).
Experience: 3-5 years of commercial experience in Data Engineering.
Core Tech: Strong proficiency in SQL and Python (we value a solid baseline and understanding of “why” code works).
Tools: Experience with Snowflake and dbt (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.
Mile widziane:
Experience with Palantir Foundry (this is a rare skill – if you don’t know it, they will teach you!).
Background in processing unstructured data (PDF parsing, OCR).
Zakres obowiązków:
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.
Oferujemy:
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).
🔍 Dekoder Ogłoszenia
🔴
willingness to learn new tools quickly
Może oznaczać nieustabilizowany stack technologiczny i częste zmiany narzędzi
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A high sense of ownership
Może oznaczać pełną odpowiedzialność za błędy i brak wsparcia zespołu