AI Data Enablement Engineer

October 9, 2026

Remote

Senior

Terrassa, Spain

Indeed

Description

Xenon7 is hiring an AI Data Enablement Engineer to build an AI-enablement layer on top of an enterprise data platform for the client's Digital Finance IT, letting Finance business users interact with governed data in natural language. The role is a data platform engineering position focused on trusted datasets, semantic models and embedded AI experiences rather than model training. You will design and operate AI-ready data products on Snowflake and/or Databricks, deploy Cortex or Genie capabilities and enforce data governance in a regulated pharma environment. It is a senior, hands-on role based in Terrassa, Spain.

Responsibilities

Design and build AI-ready data products on Snowflake and/or Databricks with well-defined business semantics
Implement semantic layers and governed datasets supporting both traditional BI consumption and natural-language querying by business users
Deploy and operate Snowflake Cortex capabilities (Cortex Analyst, Cortex Search, Cortex Agents, Cortex LLM Functions) and/or Databricks Genie spaces with Unity Catalog
Build RAG pipelines and conversational analytics applications grounded in governed enterprise data
Engineer robust ETL/ELT pipelines using dbt, Airflow, Snowpark and PySpark
Implement data governance including RBAC, row/column-level security, masking, lineage, auditability and metadata management
Optimize cost and performance across warehouse sizing, cluster tuning, query optimization, token usage and model routing
Partner with Finance business stakeholders to translate domain requirements into semantic models and governed data products

Requirements

5+ years of hands-on data engineering on cloud data platforms (Snowflake and/or Databricks) demonstrated in real project delivery, not skill-list only
Direct hands-on production or advanced-pilot experience with either Snowflake Cortex (Analyst, Search, Agents, LLM Functions) or Databricks Genie spaces
Delivering semantic layers and governed trusted data products with KPI definitions, hierarchies and business glossary alignment
Strong command of dbt, PySpark, Snowpark, SQL and Python across the modern data stack
Orchestration experience with Airflow, Databricks Workflows or equivalent
Data governance in regulated environments: RBAC, row/column-level security, masking, lineage and auditability
Integrating structured and unstructured data (PDFs, SharePoint/Teams content, enterprise knowledge sources) into AI-enablement workflows
Nice to have: pharma, life sciences or regulated financial services domain experience
Nice to have: Veeva CRM, IQVIA, SAP or clinical data source integration
Nice to have: SnowPro Advanced or Databricks Data Engineer Professional certification
Nice to have: LangChain, LlamaIndex or equivalent RAG frameworks
Nice to have: cost optimization across compute (warehouse/cluster) and LLM (tokens/caching/routing) dimensions

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