Hybrid Data & AI Implementation Consultant

Decskill; Portugal; Híbrido; EUR 40 000 - 65 000; Tempo integral

Resumo da oferta

Decskill is seeking data engineering professionals to join a hybrid team focused on advanced data and AI initiatives. You will translate business requirements into robust data/AI solutions, leverage Snowflake for data modeling, and build pipelines with dbt across DEV, QA, and PROD environments.

You will apply Python for data processing, develop semantic views, and explore AI use cases such as document processing and automated content generation, collaborating with stakeholders across technical

Qualificações

• 3–6 years of experience in Data Engineering, Analytics Engineering, or AI Engineering roles.
• Strong hands-on experience with Snowflake, including data modeling and semantic layer design.
• Proven experience with dbt, including pipeline development across DEV, QA, PROD environments.
• Experience creating and managing semantic views (YAML-based) and data abstractions.
• Solid knowledge of Python for data processing, scripting, and AI integration.
• Practical experience implementing AI use cases (document processing, automated content generation).
• Exposure to enterprise AI tools (e.g., Copilot, Gemini or similar).
• Familiarity with RAG concepts and AI orchestration frameworks (LangChain or similar).
• Familiarity with AI agents and tool-calling mechanisms is a plus.
• Experience translating business requirements into technical solutions in data/AI context.
• Hands-on, delivery-focused role with ownership of tasks.
• Strong communication skills and ability to collaborate with technical and business stakeholders.
• Experience with data governance and AI governance principles is a plus.
• Familiarity with developer productivity tools (e.g., Claude Code) is a plus.

Conhecimentos

Data engineering

Analytics engineering

AI engineering

Python

Communication

Ferramentas

Snowflake

dbt

Semantic YAML

LangChain

Claude Code

Descrição da oferta de emprego

Decskill is seeking data engineering professionals to join a hybrid team focused on advanced data and AI initiatives. You will translate business requirements into robust data/AI solutions, leverage Snowflake for data modeling, and build pipelines with dbt across DEV, QA, and PROD environments.

You will apply Python for data processing, develop semantic views, and explore AI use cases such as document processing and automated content generation, collaborating with stakeholders across technical