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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on data ingestion and integration using Snowflake, dbt, SQL, and Python. Responsibilities include building data pipelines, advanced modeling, and integrating with Palantir Foundry for real estate and invoicing sectors. Tasks involve using and improving AI tools and optimizing data modeling. Fluent English and data engineering experience are required.
from: 3 September 2026
to: 18 October 2026
20 000 - 27 000 złnet (+ VAT)/ mth.B2B contract (full-time)
14 000 - 19 000 złgross/ mth.contract of employment
Offer parameters
level:mid
working mode:full office
location:Kraków, Lesser Poland
Kraków, Lesser Poland
Requirements
Expected technologies
SQL
Python
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).
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.
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).
Recruitment for
Our 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.
dotLinkers Sp. z o.o.
Jesteśmy dotLinkers, pierwszą agencją rekrutacyjną IT dedykowaną start-upom oraz firmom produktowym. Aby być elastycznym, w naszym portfolio znajdzie się również kilka propozycji do jednych z największych graczy na rynku. À propos graczy, śmiało możemy się takowymi nazywać. Lubimy grać i współzawodniczyć tak na boisku jak i na rynku rekrutacyjnym. Po pracy chillujemy grając w petanque, piłakrzyki, siatkówkę, kosza i bilboquet. Dzięki najlepszemu zespołowi z roku na rok osiągamy niesamowite wyniki, co jest najlepszym wskaźnikiem zadowolenia naszych klientów.
This is how we work
Data Engineer
14k–19k zł / mth. (CoE), 20k–27k zł / mth. (B2B)
I apply to:
dotLinkers Sp. z o.o.
Kraków, Lesser Poland
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