Database Administrator📣 Job Ad

About the Database Administrator Trainee Role

Salla is seeking a Database Administrator Trainee to join its Data Platform team in Medina, Al Madinah Province, through the Tamheer Program. This internship is designed for individuals with 0-1 years of experience who are curious, detail-oriented, and ambitious. The role involves solving complex problems, analyzing system behavior, working with data, and understanding critical technology platforms. Database administration requires precision and responsibility, as even minor configuration or query errors can have significant impacts. The successful candidate will approach tasks carefully, validate work, ask pertinent questions, and maintain composure when investigating technical issues.

Key Responsibilities

The Database Administrator Trainee will collaborate with experienced Database Administrators, Data Engineers, and Platform Engineers on tasks including:

• Writing, reviewing, and optimizing SQL queries.
• Analyzing database performance and identifying slow or inefficient queries.
• Supporting database monitoring, health checks, and capacity analysis.
• Assisting with database backup, recovery, replication, and high-availability activities.
• Investigating database incidents and helping identify root causes.
• Performing benchmarking and comparing database configurations, queries, and technologies.
• Developing Python scripts to automate repetitive database and operational tasks.
• Validating data accuracy, consistency, and integrity.
• Preparing technical reports, performance findings, and recommendations.
• Supporting documentation of database standards, operational procedures, and best practices.
• Learning how database changes are safely tested before being applied to critical environments.
• Participating in continuous improvement initiatives across the Data Platform.

Required Qualifications

Candidates for this role should possess:

• Good foundational knowledge of SQL.
• Ability to write queries using joins, aggregations, filtering, and subqueries.
• Basic Python programming skills.
• Strong critical-thinking and problem-solving abilities.
• An analytical mindset and close attention to detail.
• Ability to compare results, benchmark solutions, and validate assumptions.
• A willingness to investigate problems instead of accepting results at face value.
• Good communication and documentation skills.
• A strong desire to learn database technologies and production engineering practices.

Preferred Knowledge and Experience

The following experience is beneficial but not mandatory:

• Familiarity with MySQL, PostgreSQL, MongoDB, Redis, or similar database technologies.
• Basic knowledge of Linux and command-line tools.
• Understanding of database indexes, transactions, schemas, and data types.
• Exposure to Git, APIs, cloud platforms, or container technologies.
• Experience working on academic, personal, or graduation projects involving data or automation.

Learning and Development Opportunities

During this program, participants will have the opportunity to learn about:

• How enterprise databases operate at scale.
• Database performance tuning and query optimization.
• Backup, recovery, replication, and disaster-recovery concepts.
• Database security and access-management practices.
• Monitoring, alerting, and incident investigation.
• Python-based database automation.
• Safe change-management practices for production environments.
• How to approach problems and operate like a Database Reliability Engineer.

Candidate Profile and Program Commitment

This role is suited for individuals who are curious about internal system workings, enjoy investigating technical problems, pay close attention to detail, are comfortable asking questions and learning from feedback, and take ownership of their work. Salla is committed to providing guidance, practical experience, and opportunities to work with experienced engineers. The program will challenge participants to think critically, research independently, test ideas, and gradually take ownership of meaningful technical tasks, offering an experience in the world where reliability, accuracy, automation, and engineering discipline support systems at scale.