Data Engineer

Data Engineer

dotLinkers

18000 - 24000 PLN / miesiąc
Kraków
Tarnów
Wieliczka
Warszawa
Katowice
Data Engineering
SQL
Python
Snowflake
dbt
Data Modeling
Data Integration
AI Workflows
Palantir Foundry

Hexjobs Insights

Role: Data Engineer (AI & GenAI Workflows) in Kraków. Responsibilities include building data pipelines, modeling data, and integrating datasets. Requirements: 4-5 years experience in Data Engineering, strong SQL and Python skills. Salary: 18,000 – 24,000 PLN net + VAT (B2B).

Słowa kluczowe

Data Engineering
SQL
Python
Snowflake
dbt
Data Modeling
Data Integration
AI Workflows
Palantir Foundry

Benefity

  • Direct collaboration with experienced professionals
  • High-end hardware provided (MacBook Pro)
  • Opportunity to learn Palantir Foundry
  • Flexible working hours
  • Modern hybrid work setup

Position: Data Engineer (AI & GenAI Workflows)Location: Kraków (Hybrid)Salary: 18,000 – 24,000 PLN net + VAT (B2B)About the ProjectOur Client is a cutting-edge technology company building custom AI coding assistants and generative AI workflows for Fortune 500 companies. They compete with industry giants like Anthropic and OpenAI by delivering tailored, high-scale AI implementations.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 RoleData 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.RequirementsExperience: 4-5 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.Nice to haveExperience 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 OfferWork with a Legend: Direct collaborationHigh-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).Location: Modern hybrid setup in Kraków (moving to a dedicated office in Q2).

Wyświetlenia: 4
Opublikowana4 dni temu
Wygasaza 3 miesiące
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