Data Engineer (Arabic)

Data Engineer – Population Modeling Role Overview

The Data Engineer will design, build, and maintain scalable data pipelines and platforms that support population modeling and demographic analysis for evidence-based national planning. The role ensures the availability, quality, security, and governance of data used by data scientists and policy analysts to produce reliable forecasts and insights.

Key Roles & Responsibilities

Design, develop, and maintain robust ETL/ELT pipelines integrating demographic, census, and national accounts data.
Build and optimize batch and real-time data pipelines for large-scale population and macroeconomic datasets.
Implement data quality frameworks, logging, lineage, and security controls to ensure accuracy, traceability, and compliance.
Collaborate closely with modelers and analysts to translate population modeling requirements into well-structured, analytics-ready datasets.
Manage and optimize relational and non-relational databases supporting demographic and foresight models.
Support production environments by monitoring pipelines, resolving data issues, and ensuring system reliability.
Develop and deploy data models, APIs, and visualizations to improve accessibility and usability across the foresight department.
Maintain comprehensive documentation, version control, and CI/CD pipelines aligned with data governance standards.
Ensure effective knowledge transfer and documentation of methodologies, assumptions, and analytical outputs.

Qualifications

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
4+ years of hands-on experience in data engineering, ETL development, or database management.
Demonstrated experience with population modeling techniques and demographic data analysis.
Experience working with government entities, public sector organizations, think tanks, or international institutions is strongly preferred.

Technical Competencies

Strong proficiency in SQL and Python for data engineering and transformation.
Hands-on experience with cloud data platforms such as AWS, Azure, or GCP (data lakes, warehouses, orchestration tools).
Experience with CI/CD pipelines, version control systems (e.g., Git), and data security protocols.
Familiarity with data APIs, data modeling, and analytics enablement frameworks.
Strong proficiency in Microsoft Office, especially for reporting and documentation.

Language & Communication

Fluency in Arabic and English, both written and spoken.

Soft Skills

Strong analytical and critical thinking capabilities.
High attention to detail with a strong commitment to data quality and research rigor.
Ability to collaborate effectively across multidisciplinary and policy-focused teams.
Skilled at translating complex analytical outputs into clear, actionable insights for decision-makers.
Curious, innovative, and adaptable, with a strong interest in emerging data and modeling technologies

Skills: python,data models,aws,gcp,data engineering,microsoft office,azure,security controls,data quality,etl,ci/cd pipelines,database management,sql,frameworks,apis

Data Engineer (Arabic)

Key Skills

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