Data Engineer

Job Description Roles & Responsibilities We are seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines, transformation frameworks, and enterprise data solutions that support reporting, analytics, and AI initiatives. The ideal candidate will have strong expertise in modern data platforms, cloud technologies, ETL/ELT development, and data modeling. The role will be responsible for ensuring reliable, secure, and high-quality data availability across enterprise systems while supporting business intelligence, analytics, and AI use cases. Key Responsibilities Data Engineering & Pipeline Development Design, develop, and maintain scalable ETL/ELT pipelines. Build and optimize data ingestion, transformation, and integration frameworks. Develop reusable and maintainable data engineering solutions following industry best practices. Ensure data pipelines are documented, monitored, and supported effectively. Data Quality & Reliability Implement data quality controls, validation frameworks, and reconciliation processes. Monitor pipeline performance and proactively resolve data quality issues. Improve operational reliability, availability, and performance of enterprise data platforms. Establish monitoring and alerting mechanisms for critical data processes. Analytics & AI Enablement Prepare and manage datasets required for reporting, analytics, machine learning, and AI initiatives. Support data consumption needs for business intelligence and advanced analytics teams. Collaborate with stakeholders to understand and deliver data requirements. Governance & Security Follow enterprise security, governance, and compliance standards. Implement data access controls and data management best practices. Ensure compliance with data privacy, audit, and regulatory requirements. Continuous Improvement Provide production support and issue resolution. Identify opportunities for automation and process optimization. Contribute to platform enhancements and engineering best practices. Desired Candidate Profile Required Qualifications Education Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Analytics, or related discipline. Experience 10+ years of hands-on experience in Data Engineering. Strong experience building enterprise-scale data platforms and pipelines. Experience with cloud-based data architectures and modern analytics ecosystems. Mandatory Technical Skills Data Engineering ETL / ELT Frameworks Data Modeling Dimensional Modeling Medallion Architecture Lakehouse Architecture Data Quality Frameworks Data Validation & Reconciliation Databricks & Modern Data Platforms Databricks Delta Lake Delta Live Tables (DLT) Unity Catalog Databricks Workflows Lakehouse Technologies Programming & Development Python SQL FastAPI REST APIs Streamlit React Cloud & Data Platforms Azure Data Services Enterprise Data Platforms Data Lakes Cloud Data Warehousing Solutions DevOps & Version Control Git CI/CD Pipelines Azure DevOps Preferred Certifications Databricks Certifications Microsoft Azure Certifications Data Engineering Certifications SQL Certifications Cloud Platform Certifications Key Competencies Data Engineering Data Modeling SQL Development Problem Solving Data Quality Management Cloud Technologies Stakeholder Collaboration Continuous Improvement Innovation & Automation Adaptability Preferred Languages English Arabic (Preferred but not mandatory) Company Industry IT - Software Services Department / Functional Area IT Software Keywords Data Engineer Get real-time job updates only on our App