Data Engineer at LinkedIn
Dubai, Dubai, United Arab Emirates -
Full Time


Start Date

Immediate

Expiry Date

25 Dec, 26

Salary

25000.0

Posted On

26 Sep, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

YOUR ROLE

  • As Data Engineer, you will be responsible in the performance of the following but not limited to duties and responsibilities;Develop and maintain project dashboards, reports, and performance monitoring tools.
  • Create data models, KPI calculations, and business intelligence solutions.
  • Design interactive visualizations to support project controls and management reporting.
  • Gather reporting and analytical requirements from project stakeholders.
  • Implement report governance, security, and data management standards.
  • Optimize report and dashboard performance.
  • Design, build, and maintain data pipelines and ETL/ELT processes.
  • Develop and manage data warehouses and centralized reporting solutions.
  • Ensure data quality, integrity, and reliability across project data sources.
  • Monitor and maintain project data infrastructure.
  • Automate data collection, integration, and reporting processes.
  • Support AWP and project management teams with advanced analytics and reporting solutions


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Responsibilities

YOUR ROLE

  • As Data Engineer, you will be responsible in the performance of the following but not limited to duties and responsibilities;Develop and maintain project dashboards, reports, and performance monitoring tools.
  • Create data models, KPI calculations, and business intelligence solutions.
  • Design interactive visualizations to support project controls and management reporting.
  • Gather reporting and analytical requirements from project stakeholders.
  • Implement report governance, security, and data management standards.
  • Optimize report and dashboard performance.
  • Design, build, and maintain data pipelines and ETL/ELT processes.
  • Develop and manage data warehouses and centralized reporting solutions.
  • Ensure data quality, integrity, and reliability across project data sources.
  • Monitor and maintain project data infrastructure.
  • Automate data collection, integration, and reporting processes.
  • Support AWP and project management teams with advanced analytics and reporting solutions


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