Data Engineer

Recruitment for

Technologies we use

Your 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.

Our requirements

• 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.

Optional

• 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).

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).