About Decskill
We are growing. And we are looking for talented people. At Decskill, we believe that technological excellence is driven by human talent. We are an IT consulting company with more than 10 years of consolidated experience in the market, focused on building long-term relationships with both our clients and our people. Today, we are a community of over 800 professionals, working from Lisbon, Porto, and Madrid, contributing to impactful technology initiatives.
Responsibilities
•Support group (SRE) in data enablement initiatives and the implementation of AI use cases, bridging enterprise AI platforms with business requirements.
•Create and validate YAML semantic view files in Snowflake to support Cortex Analyst capabilities.
•Prepare and maintain Talk2Data ontologies to enable effective data access and AI-driven interactions.
•Coordinate dbt deployments across development, quality assurance and production environments (DEV, QUA and PRD).
•Develop Python-based solutions for data processing and AI implementation.
•Implement AI use cases using existing enterprise AI platforms, including invoice scanning, contract generation and process automation.
•Lead AI governance activities within the business unit, ensuring the responsible and effective adoption of AI solutions.
•Support the implementation and enablement of developer productivity tools, including Claude Code.
•Explore and implement AI agents, tool-calling mechanisms and orchestration frameworks to support business processes.
•Apply Retrieval-Augmented Generation (RAG) techniques to develop solutions that leverage enterprise data and knowledge.
•Work with enterprise AI tools such as Microsoft Copilot and Gemini Enterprise to deliver practical business solutions.
•Collaborate with business stakeholders and technical teams to translate business requirements into effective AI and data solutions.
•Coordinate AI use case delivery, combining hands-on technical implementation with lightweight project management activities.
Requirements
•Experience using Python for data processing and AI implementation.
•Hands-on experience with Snowflake and dbt, including semantic views, ontologies and YAML configuration.
•Knowledge of Snowflake Cortex Analyst and semantic data modelling is valued.
•Experience with enterprise AI tools and platforms, such as Microsoft Copilot and Gemini Enterprise.
•Understanding of AI agents, tool-calling mechanisms and AI-driven automation.
•Experience with Retrieval-Augmented Generation (RAG) and AI orchestration frameworks.
•Familiarity with developer productivity tools, particularly Claude Code.
•Ability to bridge technical AI platforms with specific business requirements and translate business needs into practical solutions.
•Experience implementing AI use cases from concept to delivery, with a focus on hands-on development.
•Understanding of AI governance principles and responsible AI adoption.
•Strong analytical and problem-solving skills, with the ability to work across data engineering and AI initiatives.
•Good communication and collaboration skills, with the ability to engage with both technical teams and business stakeholders.
•Basic project management skills to coordinate AI use case delivery and ensure effective implementation.
•Proactive mindset, adaptability and willingness to explore emerging AI technologies.
Conditions
•Long-term projects with national and international context (if applicable).
•Opportunities to grow technically and professionally.
•A people-first culture, focused on transparency and trust.
•Teams that value ownership, collaboration and stability.
