Cloud Data Platform Lead – Azure, Fabric & Lakehouse

ALTEN; Porto; Presencial; EUR 70 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Career development

Resumo da oferta

ALTEN in Porto is seeking a Lead Data Engineer to design and implement the Modern Data Platform on Microsoft Fabric and to build scalable data pipelines. You will lead the migration of legacy BI to Azure and collaborate with international IT teams.

The role requires 6+ years in Data Engineering, strong Azure experience, and expertise in Python, SQL and BI tools such as Power BI. A fast-growing Shared Services Center offers a dynamic, global environment.

Qualificações

• 6+ years in Data Engineering with cloud platforms (Azure).
• Fluent in English; French is a plus.
• Fabric, Power BI expert level.
• Data Architecture: Lakehouse, BI modeling, MDM.
• Programming: Python (mandatory), SQL (advanced), and one data engineering language (PySpark/Scala/.NET for Fabric).
• CI/CD & DevOps: pipeline automation best practices.

Responsabilidades

• Design and implement the Modern Data Platform on Microsoft Fabric,
• Develop scalable Lakehouse architectures and ETL/ELT pipelines,
• Lead the migration of legacy BI solutions to Azure,
• Define and enforce data governance, security, quality, and MDM standards,
• Collaborate with international business and IT teams to deliver reliable data solutions,
• Implement CI/CD and DevOps practices for data workflows,
• Serve as the technical reference for data engineering initiatives across the Group.

Conhecimentos

Python

SQL

Cloud Azure

Power BI

Lakehouse

MDM

BI modeling

CI/CD

DevOps

English

Ferramentas

Microsoft Fabric

Azure DevOps

Descrição da oferta de emprego

ALTEN in Porto is seeking a Lead Data Engineer to design and implement the Modern Data Platform on Microsoft Fabric and to build scalable data pipelines. You will lead the migration of legacy BI to Azure and collaborate with international IT teams.

The role requires 6+ years in Data Engineering, strong Azure experience, and expertise in Python, SQL and BI tools such as Power BI. A fast-growing Shared Services Center offers a dynamic, global environment.