Mozn
Data Engineer III
- Permanent
- Riyadh, Saudi Arabia
- Experience 2 - 5 yrs
Job expiry date: 03/05/2026
Job overview
Date posted
19/03/2026
Location
Riyadh, Saudi Arabia
Salary
SAR 20,000 - 30,000 per month
Compensation
Comprehensive package
Experience
2 - 5 yrs
Seniority
Experienced
Qualification
Bachelors degree
Expiration date
03/05/2026
Job description
The Data Engineer III at Mozn.ai is responsible for building and optimizing scalable data pipelines that feed the FOCAL system, supporting machine learning models and AI-driven insights. The role involves designing efficient database schemas, preprocessing large datasets, ensuring data quality, and collaborating closely with ML engineers, software developers, and engagement managers. This position requires both strong technical skills and client-facing communication abilities, contributing to high-performance, reliable, and scalable data solutions.
Required skills
Data pipeline development (ETL/ELT)
Python programming for data processing
SQL and complex query writing
Dimensional modeling (star/snowflake schema)
Database design and optimization
RESTful API design and consumption
Linux server administration
Containerization (Docker)
Data quality validation and logging
Performance monitoring and optimization
Collaboration with machine learning engineers
Client-facing communication
Workflow orchestration (Airflow – optional)
Distributed data processing (PySpark – optional)
API development frameworks (Flask, FastAPI – optional)
Streaming and event-driven architectures (Kafka, RabbitMQ – optional)
Data visualization (Tableau, Power BI – optional)
Key responsibilities
- Develop and maintain scalable ETL/ELT data pipelines to support FOCAL system operations
- Design efficient database schemas, indexing strategies, and query execution plans for high-performance queries
- Collaborate with ML engineers to structure and preprocess large-scale datasets for AI models
- Monitor data pipeline performance and implement improvements for reliability and scalability
- Ensure data quality through validation, logging, and quality assurance mechanisms
- Optimize database interactions for both real-time and batch query execution
- Support integration with RESTful APIs and other data sources
- Stay current with best practices in data engineering, database optimization, and ML infrastructure
- Assist in generating diverse query sets to enhance system performance and accuracy
Experience & skills
- 4+ years of experience in data engineering or related technical roles
- Proficiency in Python for data processing and ETL development
- Strong SQL skills, including complex query writing
- Solid understanding of dimensional modeling (star schema, snowflake schema, fact and dimension tables)
- Experience designing or consuming RESTful APIs
- Hands-on experience with ETL/ELT pipeline development
- Working knowledge of Linux command line and server administration
- Experience with Docker or other containerization technologies
- Strong communication and client-facing skills