
Salla
Senior Data Engineer – Data Platform
- Permanent
- Mecca, Saudi Arabia
- Experience 2 - 5 yrs
- Urgent
Job expiry date: 30/04/2026
Job overview
Date posted
16/03/2026
Location
Mecca, Saudi Arabia
Salary
SAR 20,000 - 30,000 per month
Compensation
Comprehensive package
Experience
2 - 5 yrs
Seniority
Senior & Lead
Qualification
Bachelors degree
Expiration date
30/04/2026
Job description
The Senior Data Engineer at Salla is responsible for owning, building, and scaling the data infrastructure powering the e-commerce ecosystem. This role involves end-to-end management of data pipelines, from ingestion (Data Lakes, Production Databases, APIs) to transformation using dbt and ClickHouse, and consumption through Reverse ETL and secure APIs. The engineer implements Medallion architecture (Bronze/Silver/Gold), maintains high-performance data models, and ensures CI/CD excellence. Responsibilities include building automated data quality monitoring, orchestrating infrastructure with Mage.ai, managing real-time data ingestion (Kafka, CDC), exposing secure data APIs, and collaborating with application engineers, data modelers, and analysts to optimize infrastructure for large-scale, high-volume datasets, including real-time event tracking and product analytics. The role prioritizes architectural integrity, engineering-grade standards, and data-driven decision-making support for the e-commerce platform.
Required skills
Key responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines from Data Lakes, Production ClickHouse instances, flat files, and various APIs
- Configure and optimize Data Warehouse infrastructure and orchestration layers using ClickHouse and Mage.ai
- Implement and manage engineering-grade CI/CD workflows, conduct rigorous PR reviews, and ensure robust dependency management
- Implement Medallion architecture and maintain high-performance data models using dbt
- Build automated data quality monitoring and alerting systems; escalate upstream data issues and communicate pipeline health to stakeholders
- Develop Reverse ETL pipelines and expose secure data APIs for organizational consumption
- Manage event streaming and real-time data ingestion (Kafka, CDC) for high-volume product analytics
Experience & skills
- 4–7 years of experience in Data Engineering, preferably within e-commerce or high-growth tech
- Expert-level Python and SQL, capable of writing highly optimized code for large-scale datasets
- Deep experience with dbt for data transformation and modeling
- Strong experience with ClickHouse or similar modern warehouses (Snowflake, BigQuery)
- Experience with orchestration tools: Mage.ai or similar tools (Airflow)
- Proven experience implementing and managing Reverse ETL workflows
- Proven track record in building and deploying production-grade CI/CD pipelines and automation scripts
- Solid understanding of Data Contracts, Medallion architecture, and Data Quality frameworks
- Direct experience with Kafka or CDC integrations preferred
- API development experience for data distribution preferred
- Experience in the e-commerce domain preferred
- Proficiency in Arabic is a plus