Our client, a construction firm based in Lebanon and KSA, is seeking a Database Maintenance Engineer/Senior QS  in Beirut, Lebanon who will be responsible for designing, implementing, and maintaining robust database systems to support the organization's data-driven decision making in the estimation department . Responsibilities: Design and implement scalable and efficient database architectures to meet the organization's growing data management needs. Develop and maintain complex SQL queries, stored procedures, and other database objects to support data extraction, transformation, and reporting requirements. Perform regular database maintenance tasks, such as backups, indexing, and performance tuning, to ensure optimal system performance and availability. Implement and monitor data quality control measures, including data validation rules, data cleansing processes, and data auditing procedures. Analyze data trends and patterns to identify opportunities for process improvements and data-driven decision making. Collaborate with data analysts, data scientists, and other stakeholders to understand their data needs and provide effective solutions. Develop and document database-related policies, procedures, and standards to ensure consistency and compliance across the organization. Stay up-to-date with the latest database technologies, tools, and best practices, and recommend upgrades or migrations as necessary. Provide training and support to end-users on database-related tools and applications. Ensure the security and integrity of the organization's data assets by implementing robust access controls, data encryption, and disaster recovery plans. Mentor and guide junior members of the data management team, providing technical guidance and career development support. Qualifications: Minimum of 10 years of experience in database management, data engineering, or a related field. Strong technical skills in database design, SQL programming, and data modeling. Proficiency in managing and maintaining enterprise-level database systems, such as MySQL, PostgreSQL, or Microsoft SQL Server. Hands-on experience with data warehousing, ETL processes, and business intelligence tools. Familiarity with statistical analysis techniques and their application in data-driven decision making. Excellent problem-solving and critical thinking skills, with the ability to analyze complex data and identify solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Bachelor's degree in computer science, information systems, statistics, or a related field. Advanced degree or professional certifications (e.g., PMP, CRISC) preferred.