Senior Data Engineer

Company Description Jadara Solutions was founded by industry professionals with extensive experience at leading multinational IT companies, including IBM, BMC, HP, and EMC. Drawing on long-standing relationships with solution integrators and customers across diverse countries and industries, Jadara Solutions focuses on understanding real business pain points. The company emphasizes tailored, end-to-end solutions rather than standard product-centric offerings. By prioritizing responsiveness and flexibility, Jadara Solutions aims to deliver prompt, customized services that meet evolving customer needs. Team members join a customer-focused environment where practical impact and innovation are highly valued.Role Description The Senior Data Engineer is a full-time, on-site role based in Riyadh. This position is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support analytics, reporting, and business applications. Day-to-day activities include developing and optimizing ETL processes, implementing data models and warehousing solutions, and ensuring data quality, integrity, and security. The Senior Data Engineer collaborates closely with data analysts, software engineers, and business stakeholders to understand requirements, translate them into technical solutions, and improve data reliability and performance. The role also involves monitoring production data workflows, troubleshooting issues, and contributing to best practices, standards, and documentation.Qualifications Candidates should possess strong skills in Data Engineering, including building and maintaining data pipelines and integrating diverse data sources.Candidates should possess skills in Data Modeling and Data Warehousing to design efficient schemas and scalable storage solutions.Candidates should possess skills in Extract Transform Load (ETL) development to create robust, automated workflows for data ingestion and transformation.Candidates should possess skills in Data Analytics to support reporting, dashboards, and data-driven decision-making.Proficiency in SQL and one or more programming languages commonly used in data engineering (such as Python or Java).Experience with modern data platforms and tools (for example, cloud data services, distributed processing frameworks, or orchestration tools).Knowledge of data governance, security, and best practices for managing sensitive and large-scale datasets.Bachelor’s degree or higher in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.Strong problem-solving abilities, attention to detail, and capability to work effectively in cross-functional, collaborative teams.