Data Engineer

1 week ago

Riyadh, Ar Riyāḑ, Saudi Arabia Talent Pal Full time

Data Engineer:


As a Data Engineer at NEOM EC-12, you will play a pivotal role in shaping and implementing our data strategy.

This strategic position is crucial for transforming raw data into meaningful insights, contributing to informed decision-making across various stakeholders.

If you are passionate about leveraging data to drive positive educational outcomes, this role offers a unique opportunity to lead the development of a robust data infrastructure.


  • Data Strategy Development:
  • Collaborate with stakeholders to assess existing data infrastructure and contribute to the development of a comprehensive data strategy aligned with organizational objectives.
  • Create a roadmap for implementing the data strategy, outlining key milestones and timelines for achieving strategic goals.
  • Explore emerging technologies and trends in data engineering to propose innovative solutions that enhance the organization's data capabilities.
  • Anticipate future data needs and design scalable data solutions to adapt to evolving organizational requirements.
  • Ensure alignment of the data strategy with broader business goals and objectives.
  • Dashboard Creation:
  • Work closely with stakeholders to understand reporting and visualization requirements.
  • Design and implement data models supporting the creation of interactive and insightful dashboards.
  • Utilize visualization tools like Tableau, Power BI, or equivalent for creating visually appealing and userfriendly dashboards.
  • Optimize queries and data retrieval processes to ensure realtime or nearrealtime insights.
  • Provide training and documentation to endusers on effective usage and interpretation of dashboard information.
  • Data Integration and Management:
  • Design, implement, and maintain Extract, Transform, Load (ETL) processes for efficient data integration from various sources.
  • Implement data quality processes to ensure accuracy and reliability of integrated data.
  • Develop strategies for managing master data to ensure consistency across the organization.
  • Implement solutions for realtime data processing and streaming as required by the business.
  • Conduct rigorous testing of integrated data to identify and resolve any issues related to data integrity.
  • Database Architecture:
  • Design and implement database structures aligned with performance, scalability, and business requirements.
  • Implement effective indexing strategies to optimize database query performance.
  • Develop and implement robust backup and recovery plans to safeguard data against loss or corruption.
  • Implement security measures to protect sensitive data, including access controls, encryption, and auditing.
  • Collaboration with stakeholders:
  • Collaborate with stakeholders to understand their data requirements for analytical purposes.
  • Assist stakeholders in exploring and understanding available data sources, ensuring access to relevant information.
  • Work closely with stakeholders to optimize SQL queries and provide guidance on efficient data retrieval techniques.
  • Collaborate in interpreting data results, providing insights, and helping stakeholders derive meaningful conclusions.
  • Establish a continuous feedback loop with stakeholders to refine and enhance data solutions based on evolving needs.
  • Data Governance and Quality:
  • Contribute to the development and enforcement of data governance policies and standards.
  • Establish processes and tools for ongoing monitoring of data quality, initiating corrective actions when necessary.
  • Ensure data practices adhere to regulatory requirements and industry standards related to data governance.
  • Conduct training sessions and communicate data governance principles to stakeholders to foster a culture of data quality and compliance.
  • Cloud-Based Solutions:
  • Design and implement data solutions leveraging cloud platforms such as AWS, Azure, or Google Cloud.
  • Utilize cloud scalability features to accommodate growing data volumes and processing demands.
  • Implement costeffective solutions in the cloud by optimizing resource utilization and leveraging serverless or managed services.
  • Implement robust security measures in the cloud, including encryption, access controls, and monitoring.
  • Training and Documentation:
  • Provide training to endusers on data tools, dashboards, and reporting systems.
  • Create and maintain comprehensive documentation for data engineering processes.
  • Security and Compliance:
  • Implement robust security measures to protect sensitive data.
  • Ensure compliance with data privacy regulations and standards.
This job has been sourced from an external job board.

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