Data Engineer

Job PurposeThe Data Engineer is responsible for designing, developing, and maintaining reliable data pipelines, integrations, and analytical platforms that support business decision-making. The role involves collaborating with stakeholders to translate business requirements into data solutions, optimizing performance, and ensuring data quality, accessibility, and security across all systems.Responsibilities/DutiesProfil de candidat recherché :Data Engineering & IntegrationDesign, build, and maintain scalable ETL/ELT processes from multiple source systems to the data warehouse and MIS databases.Develop and automate data workflows to ensure efficiency, reliability, and reusability.Maintain high-quality data architecture that supports reporting, analytics, and machine learning applications.Perform data validation, cleansing, and enrichment to ensure accuracy and consistency.Troubleshoot and resolve data integration or pipeline issues promptly.Business Intelligence & ReportingCollaborate with business stakeholders to identify reporting needs and define KPIs.Develop and maintain interactive dashboards and analytical reports using BI tools (e.g., Power BI, QlikSense).Translate complex datasets into clear, actionable insights through data visualization.Continuously improve BI performance and usability for business users.System Administration & SupportManage the deployment, configuration, and performance of BI and data applications.Provide technical support during User Acceptance Testing (UAT) and production phases.Coordinate with vendors and internal IT teams to resolve incidents and implement updates.Monitor application health, document system changes, and maintain operational logs.Governance, Documentation & Continuous ImprovementMaintain comprehensive documentation of data models, processes, and integrations.Contribute to data governance efforts, ensuring compliance with data management standards.Recommend and implement process improvements to enhance scalability and data utilization.Stay updated on emerging technologies in data engineering and analytics.Safety ResponsibilitiesPromote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.Comply with the requirements of RDMC RQHSE Policy and Safety Management System.Be mindful that Safety, Security, and Environmental protection are everyone’s responsibility.All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.QualificationsESSENTIAL QUALIFICATIONS, KNOWLEDGE & EXPERIENCEBachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.Certifications in Data Engineering, BI Tools, or Data Management (e.g., Microsoft, Google Cloud, AWS) are an advantage.Fluency in English and Arabic; French is a plus.KnowledgeStrong understanding of data engineering concepts, data modeling, and integration frameworks.Proficiency in SQL and relational database engines (SQL Server, MySQL, etc.).Experience with BI tools such as Power BI or QlikSense for dashboard development.Good command of Python or equivalent scripting languages for data transformation.Familiarity with data science fundamentals and visualization best practices.Understanding of data governance and data quality management principles.Experience3-5 years of experience in data engineering, BI development, or ETL-focused roles.Demonstrated experience in building and maintaining scalable data pipelines and dashboards.Proven ability to collaborate cross-functionally to deliver high-impact analytics solutions.Desired Behaviors & ExperiencesAnalytical Mindset: Naturally curious and data-driven, with the ability to identify trends and insights.Communication & Collaboration: Strong interpersonal and presentation skills, able to translate complex data into clear business narratives.Ownership & Initiative: Proactive, self-motivated, and accountable for project outcomes.Organization & Detail Orientation: Strong time management and prioritization abilities.Adaptability: Comfortable working in fast-paced, evolving environments.Customer Focus: Committed to delivering value and providing excellent internal stakeholder support.Innovation: Eager to explore new methods and tools to improve data processes and decision-making.