Hybrid Senior Azure Cloud Data Engineer

Posted last month

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About the role

  • Senior Azure Cloud Data Engineer designing and implementing data platforms on Azure for b.telligent. Collaborating across project phases and advising clients on analytics in a hybrid work environment.

Responsibilities

  • Design and implement modern data platforms on Microsoft Azure
  • Work across all Azure project phases: requirements gathering, implementation, and go-live
  • Build and optimize data models and data pipelines using Azure Data Services
  • Advise clients on analytics, data management, and integration solutions
  • Support business development and deliver workshops and webinars
  • Develop ETL processes in Azure Data Factory
  • Configure and manage Synapse Analytics / Microsoft Fabric / Databricks workspaces
  • Implement data governance and security measures
  • Optimize performance for large-scale data processing

Requirements

  • Several years of experience in data engineering and BI solutions, preferably in a consulting environment
  • Strong knowledge of Azure Data Services (e.g., Synapse, Data Factory, Microsoft Fabric, Databricks)
  • Expertise in relational databases and cloud architectures (DWH/Data Lake)
  • Very good command of English

Benefits

  • Flexible work arrangements

Job title

Senior Azure Cloud Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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