Description
We are looking for a senior data engineer to own, build, and scale the data infrastructure that powers Salla’s e-commerce ecosystem. In this role, you will be a core member of the data team, responsible for ensuring our data analytics platform is high-performing, engineering-grade, and capable of handling massive datasets, including real-time event tracking and product analytics.
You will be responsible for the end-to-end lifecycle of our data pipelines, from ingestion (data lakes, production databases, APIs) to transformation (dbt, ClickHouse warehouse) and consumption (reverse ETL, secure APIs). This is a hands-on role for a technical leader who prioritizes data quality, CI/CD excellence, and infrastructure optimization. You will partner closely with application engineers, data modelers, and analysts to build a world-class Medallion architecture.
This role is ideal for someone who thrives on technical challenges, values architectural integrity, and wants to build the backbone of data-driven decision-making at the top e-commerce enabler in Saudi Arabia.
Responsibilities
Pipeline engineering: design, build, and maintain scalable ETL/ELT pipelines from diverse sources including data lakes, production ClickHouse instances, flat files, and various APIs.
Infrastructure & orchestration: configure and optimize our data warehouse infrastructure (ClickHouse) and orchestration layers (Mage.ai).
Engineering excellence: implement and manage "engineering-grade" CI/CD workflows, conduct rigorous PR reviews, and ensure robust dependency management across the stack.
Data modeling & architecture: implement Medallion architecture (Bronze/Silver/Gold) and maintain high-performance data models using dbt.
Quality & observability: build automated data quality monitoring and alerting; proactively escalate upstream data issues to engineering teams and keep stakeholders informed of pipeline health.
Advanced data flows: develop reverse ETL (rETL) pipelines and expose secure data APIs to enable seamless data consumption across the organization.
Strategic integration: manage event streaming and real-time data ingestion (Kafka, CDC) to support high-volume product analytics and tracking.
Requirements
4–7 years of experience in data engineering, preferably within the e-commerce or high-growth tech industry.
Expert-level Python and SQL (able to write highly optimized code for large-scale datasets).
Deep experience with dbt for transformation and modeling.
Strong experience with ClickHouse (preferred) or similar modern warehouses (Snowflake, BigQuery) and orchestration tools: mage.ai (preferred) or similar tools (Airflow).
Proven experience implementing and managing reverse ETL workflows to sync data back into operational tools.
Proven track record building and deploying production-grade CI/CD pipelines and automation scripts.
Solid understanding of data contracts, Medallion architecture, and data quality frameworks.
Nice to have
Proficiency in Arabic.
Based in Saudi (Jeddah, Makkah).
Direct experience with Kafka or CDC (Change Data Capture) integrations.
Experience in the e-commerce domain.
API development for data distribution.