Senior Data Engineer – Big Data & Databricks Expert

emagine; Lisboa; Presencial; EUR 40 000 - 60 000; Tempo integral

Resumo da oferta

Emagine in Lisbon is seeking a highly skilled Data Engineer specializing in Microsoft Data technologies and Big Data environments. The ideal candidate should have 3-5 years of consulting or development experience, focusing on quality and performance of data applications. Responsibilities include designing new applications, implementing solutions aligned with project timelines, and ensuring operational reliability. Familiarity with Azure components and expertise in data integration is preferred, working in a dynamic environment focused on high-impact projects.

Qualificações

• 3–5 years of proven consulting or development experience with Microsoft Data technologies.
• Confirmed expertise in Big Data environments, particularly with Databricks (Python and Spark).
• Strong orientation towards technical development.

Responsabilidades

• Design and develop new applications while maintaining existing components.
• Implement technical solutions aligned with project timelines.
• Ensure the quality and reliability of applications.
• Contribute proactively to the performance of Big Data & BI platforms.
• Implement logging, monitoring, and error-handling mechanisms.
• Deliver solutions that facilitate structured data access for analysis.

Conhecimentos

Big Data expertise

Microsoft Data technologies

Technical development orientation

ETL tools

Azure familiarity

SQL Server suite knowledge

Ferramentas

Databricks (Python and Spark)

Power BI

Azure Analysis Services

Descrição da oferta de emprego

Emagine in Lisbon is seeking a highly skilled Data Engineer specializing in Microsoft Data technologies and Big Data environments. The ideal candidate should have 3-5 years of consulting or development experience, focusing on quality and performance of data applications. Responsibilities include designing new applications, implementing solutions aligned with project timelines, and ensuring operational reliability. Familiarity with Azure components and expertise in data integration is preferred, working in a dynamic environment focused on high-impact projects.