Senior Data Engineer - Fabric & Azure Architect (Remote)

Keyrus Portugal

Lisboa

Presencial

EUR 43 000 - 53 000

Tempo integral

Há 5 dias
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Gerador de candidaturas

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Vantagens oferecidas por esta oferta de emprego

Meal allowance
Flexible benefits
Private medical insurance
25% annual leave increase
Continuous learning
International team

Resumo da oferta

Keyrus Portugal is seeking a Senior Data Engineer to join a strategic migration project. You will architect and implement scalable ETL/ELT pipelines on Microsoft Fabric and Azure, delivering end-to-end data solutions for finance transformation.

The role requires 5+ years of data engineering experience, strong SQL, and English fluency. You will work with hybrid collaboration in an international environment and contribute to data governance and CI/CD practices.

Qualificações

  • 5+ years of experience as a Data Engineer or similar role.
  • Experience delivering end-to-end data engineering solutions.
  • Fluent English, strong communication with technical/non-technical stakeholders.
  • Hands-on with Microsoft Fabric and Azure data technologies.

Responsabilidades

  • Design, develop, and maintain ETL/ELT pipelines using Microsoft Fabric and Azure.
  • Model dimensional data structures with facts and dimensions.
  • Build curated, business-ready datasets for the Gold Layer.
  • Collaborate with BI, analysts, and architects across international teams.
  • Implement data quality, validation, and reconciliation across data lifecycles.

Conhecimentos

English fluency
SQL
Data engineering
ETL/ELT
Problem solving

Formação académica

Computer Science / Data Engineering or related field

Ferramentas

Microsoft Fabric
Azure Data Factory
Azure Synapse
Azure Storage/Data Lake
Azure DevOps
Git

Descrição da oferta de emprego

Keyrus Portugal is seeking a Senior Data Engineer to join a strategic migration project. You will architect and implement scalable ETL/ELT pipelines on Microsoft Fabric and Azure, delivering end-to-end data solutions for finance transformation.

The role requires 5+ years of data engineering experience, strong SQL, and English fluency. You will work with hybrid collaboration in an international environment and contribute to data governance and CI/CD practices.

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