Data & AI Engineer: Snowflake & AI Solutions

Decskill; Lisboa; On-site; EUR 55,000 - 90,000; Full time

Job summary

Decskill is growing and seeks a Data & AI Engineer to bridge data platforms with AI solutions. You will work on Snowflake, dbt deployments, RAG, and enterprise AI tools to deliver practical business outcomes.

The role requires hands-on development, collaboration with stakeholders, and a focus on responsible AI governance within the team. Lisbon/Porto/Madrid offices with long-term opportunities.

Qualifications

• Experience with Python for data processing and AI implementation.
• Hands-on Snowflake and dbt experience, including semantic views.
• Familiarity with Snowflake Cortex Analyst and semantic data modelling.
• Knowledge of enterprise AI tools such as Copilot and Gemini Enterprise.
• Understanding of AI agents, tool-calling and AI-driven automation.
• Experience with Retrieval-Augmented Generation (RAG) and orchestration.

Responsibilities

• Support data enablement initiatives and AI use cases for business needs.
• Create and validate YAML semantic view files in Snowflake.
• Prepare and maintain Talk2Data ontologies for data access and AI interactions.
• Coordinate dbt deployments across DEV, QUA and PRD environments.
• Develop Python-based data processing and AI solutions.
• Lead AI governance activities within the unit.
• Support developer productivity tools, including Claude Code.
• Explore AI agents, tool-calling mechanisms and orchestration frameworks.
• Apply RAG techniques to leverage enterprise data and knowledge.
• Collaborate with stakeholders to translate requirements into AI/data solutions.
• Coordinate AI use case delivery with lightweight project management.

Skills

Python

Snowflake

dbt

YAML

AI Governance

RAG

Copilot

Gemini

Claude Code

Tools

Snowflake Cortex Analyst

semantic views

dbt

Python-based tools

Job description

Decskill is growing and seeks a Data & AI Engineer to bridge data platforms with AI solutions. You will work on Snowflake, dbt deployments, RAG, and enterprise AI tools to deliver practical business outcomes.

The role requires hands-on development, collaboration with stakeholders, and a focus on responsible AI governance within the team. Lisbon/Porto/Madrid offices with long-term opportunities.