Senior Databricks Engineer: AI Lakehouse & GenAI

Vantiva; Lisboa; On-site; EUR 70,000 - 100,000; Full time

Job summary

Vantiva in Lisbon is seeking a senior data/platform engineer to drive the Databricks Lakehouse foundation and AI-enabled data solutions. You will design production data pipelines, implement security controls, and collaborate with analytics teams to translate requirements into scalable architectures.

The role focuses on GenAI workflows, MLOps patterns, and data governance, offering opportunities to work across AI initiatives and enterprise-scale datasets.

Qualifications

• 5+ years in data engineering or platform engineering.
• 3+ years hands-on Azure Databricks experience.
• Strong Python and SQL proficiency.
• Experience implementing workspace security and RBAC.
• Experience building production data pipelines at scale.
• Experience with Mosaic AI.
• Familiarity with GenAI/LLM patterns (RAG, vectors) desirable.
• Strong communication; able to present diagrams and trade-offs.

Responsibilities

• AI application enablement: build and deploy AI-powered apps with GenAI workflows.
• Data platform foundation: design and operate the Databricks Lakehouse core.
• Data engineering: develop production pipelines delivering clean datasets.
• Solution architecture: create reference architectures for data ingestion and storage.
• Standards and best practices: enforce CI/CD, security, cost optimization.
• Collaboration: partner with analysts, cloud/infra, and business units.

Skills

Python

SQL

Strong communication

Data pipeline design

Security concepts

Mosaic AI

Tools

Azure Databricks

Delta Lake

Unity Catalog

Spark

RBAC

Mosaic AI tooling

Job description

Vantiva in Lisbon is seeking a senior data/platform engineer to drive the Databricks Lakehouse foundation and AI-enabled data solutions. You will design production data pipelines, implement security controls, and collaborate with analytics teams to translate requirements into scalable architectures.

The role focuses on GenAI workflows, MLOps patterns, and data governance, offering opportunities to work across AI initiatives and enterprise-scale datasets.