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AI Data Enablement Engineer

Remote from Spain·Added 1 month ago

Xenon7

3 open roles

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Overview

Job details

Fully remote
Per the ad.

Requirements

Have the right to work in Spain
Xenon7 doesn't mention sponsorship in the ad.
Work in English
English is required, per the ad.
Have 5+ years of experience
Mid-level role.

Requirements

What we're looking for

5+ years hands-on data engineering on cloud data platforms - Databricks demonstrated in real project delivery, not skill-list-only
Direct hands-on experience with Databricks Genie - you have built, configured, and tuned these in production or advanced pilots, with specific reference to the flavors used (Genie spaces with semantic models)
Semantic layer / trusted data product delivery - you have built governed datasets that business users can rely on, with KPI definitions, hierarchies, and business glossary alignment
dbt, PySpark, SQL, Python - strong across the modern data stack
Orchestration with Airflow, Databricks Workflows, or equivalent
Data governance in regulated environments - RBAC, RLS, masking, lineage, auditability
Experience 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
Veeva CRM, IQVIA, SAP, or clinical data source integration
Streamlit or Databricks Apps for business-facing analytics
Databricks Data Engineer Professional certification
LangChain, LlamaIndex, or equivalent RAG frameworks
Cost optimization on both compute (warehouse/cluster) and LLM (tokens/caching/routing) dimensions

The role

Our Client's Digital Finance IT is building an AI-enablement layer on top of our enterprise data platform to enable business users across Finance to interact with governed data in natural language. We're hiring a Data Enablement Engineer to design, build, and operate the trusted datasets, semantic models, and embedded AI experiences that make this possible. This is a data platform engineering role, not a data science or model-building role. You will spend your time engineering the data foundation that makes AI reliable - semantic layers, governed data products, and embedded natural-language analytics - not training models.

What you'll do

Design and build AI-ready data products on Databricks - trusted datasets with well-defined business semantics, KPIs, hierarchies, and business glossary alignment
Implement semantic layers and governed datasets that support both traditional BI consumption and natural-language querying by business users
Deploy and operate Databricks Genie spaces with Unity Catalog, tuning them for accuracy, adoption, and business relevance
Build RAG pipelines and conversational analytics applications grounded in governed enterprise data - including Streamlit or Databricks Apps that let business users query data without writing SQL
Engineer robust ETL/ELT pipelines (dbt, Airflow, PySpark) that produce and maintain the trusted data these AI experiences depend on
Implement data governance - RBAC, row/column-level security, masking, lineage, auditability, catalog and metadata management - in a regulated pharma environment
Optimize cost and performance on both the data platform side (warehouse sizing, cluster tuning, query optimization) and the AI side (token usage, caching, model routing)
Partner with Finance business stakeholders to translate domain requirements into semantic models and governed data products they can trust

What We're NOT Looking For

Data Scientists - this role is not model training, fine-tuning, LoRA/RLHF, or ML research
Pure Data Engineers who list Cortex or Genie as a skill but haven't shipped it in production
AI/GenAI engineers whose center of gravity is LangChain agents or RAG-over-documents, without a strong governed data platform foundation
Computer vision, NLP model builders, or multi-agent orchestration specialists - wrong shape for this role

About Xenon7

Xenon7 is a technology consultancy specializing in cloud infrastructure, data science, and AI solutions, with a strong focus on Salesforce technologies such as Agentforce. The company helps enterprises implement advanced AI and data-driven strategies, leveraging platforms like AWS SageMaker and DevOps practices. While relatively small, Xenon7 positions itself as a niche player in the AI and cloud consulting space, serving clients across Europe.

Xenon7 has a presence in Madrid, Spain, where it is actively hiring for roles such as Agentforce AI Maestro, Senior Data Scientist, and Sagemaker DevOps Engineer. The company offers opportunities for international professionals to work on cutting-edge AI and cloud projects, with a collaborative and technically focused work culture. Its Spain office serves as a hub for European operations, making it an attractive option for relocating tech talent.

Employees: 120
Headquarters: Madrid, Spain
In Spain: Madrid
Website: xenon7.com

Good to know if you are moving

Xenon7 is actively hiring for AI and data roles in Spain, including positions focused on Salesforce Agentforce and AWS SageMaker.
The company offers remote-friendly roles across Europe, which may provide flexibility for international professionals.
Working at Xenon7 involves hands-on experience with cutting-edge AI technologies and Salesforce platforms, valuable for career growth.
The Madrid office is a key hub for the company's European operations, offering a gateway to the Spanish tech ecosystem.

All open roles at Xenon7