Databricks Genie Data Platform Engineer

Xenon Seven; Italia; In loco; EUR 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

Xenon Seven is hiring a Data Enablement Engineer to design, build, and operate trusted datasets, semantic models, and embedded AI experiences on our enterprise data platform. This role focuses on data foundation engineering, not model building.

You will craft semantic layers, governance, and AI-enabled analytics that empower business users to interact with data through natural language, while ensuring cost efficiency and compliance in a regulated pharma environment.

Competenze

• 5+ years hands-on data engineering on cloud data platforms — Databricks demonstrated in real project delivery.
• Direct hands-on experience with Databricks Genie — you have built, configured, and tuned these in production or advanced pilots, with Genie spaces and semantic models.
• Semantic layer / trusted data product delivery — you have built governed datasets with KPI definitions 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) into AI-enabled workflows.

Mansioni

• Design and build AI-ready data products on Databricks with well-defined semantics, KPIs, and business glossary alignment.
• Implement semantic layers and governed datasets to support BI and natural-language querying.
• Deploy and operate Databricks Genie spaces with Unity Catalog, tuning for accuracy and adoption.
• Build RAG pipelines and conversational analytics apps grounded in governed data.
• Engineer robust ETL/ELT pipelines (dbt, Airflow, PySpark) to support AI experiences.
• Implement data governance — RBAC, row/column-level security, masking, lineage, metadata management — in regulated pharma environments.
• Optimize cost and performance on data platform and AI sides (compute, tokens, caching, routing).
• Partner with Finance stakeholders to translate requirements into semantic models and governed data products.

Conoscenze

Databricks Genie experience

Databricks

SQL

Python

PySpark

dbt

Airflow

Streamlit/Databricks Apps

RBAC/RLS

Strumenti

Databricks Unity Catalog

.Streamlit

Databricks Apps

Descrizione del lavoro

Xenon Seven is hiring a Data Enablement Engineer to design, build, and operate trusted datasets, semantic models, and embedded AI experiences on our enterprise data platform. This role focuses on data foundation engineering, not model building.

You will craft semantic layers, governance, and AI-enabled analytics that empower business users to interact with data through natural language, while ensuring cost efficiency and compliance in a regulated pharma environment.