Senior Databricks Engineer for AI Data Platform

L584 VTV PORTUGAL, UNIPESSOAL LDA; Lisboa; Presencial; EUR 40 000 - 70 000; Tempo integral

Resumo da oferta

L584 VTV PORTUGAL, UNIPESSOAL LDA in Lisboa is looking for a skilled data engineer to support AI application development using Azure Databricks. With a commitment to innovation and collaboration, you will design and maintain data platforms and produce scalable technical solutions.

The ideal candidate has over 5 years of experience in data engineering, strong Python and SQL skills, and familiarity with AI workflows, particularly in data pipeline optimization and security management.

Qualificações

• 5+ years in data engineering or platform engineering roles.
• 3+ years hands-on experience with Azure Databricks.
• Strong proficiency in Python and SQL.
• Experience in managing workspace-level security and access.
• Experience building production data pipelines.
• Familiarity with GenAI/LLM application patterns is desirable.
• Strong communication skills for technical presentations.

Responsabilidades

• Develop and deploy AI-powered applications and workflows.
• Design and maintain data platform foundations.
• Optimize production data pipelines for analytics.
• Evaluate requirements for data ingestion and storage.
• Establish coding standards and best practices.
• Collaborate with cross-functional teams for solutions.

Conhecimentos

Data engineering

Python

SQL

Azure Databricks

Data pipeline development

MosaicAI

Communication skills

Ferramentas

Databricks

Unity Catalog

DeltaLake

SAP

Descrição da oferta de emprego

L584 VTV PORTUGAL, UNIPESSOAL LDA in Lisboa is looking for a skilled data engineer to support AI application development using Azure Databricks. With a commitment to innovation and collaboration, you will design and maintain data platforms and produce scalable technical solutions.

The ideal candidate has over 5 years of experience in data engineering, strong Python and SQL skills, and familiarity with AI workflows, particularly in data pipeline optimization and security management.