Senior Data Engineer - Data Platform at Salla

Makkah Al Mukarramah, Makkah Region, Saudi Arabia -

Full Time

Start Date

Immediate

Expiry Date

13 Jun, 26

Salary

0.0

Posted On

15 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, dbt, ClickHouse, Mage.ai, Airflow, Kafka, CDC, Reverse ETL, CI/CD, Data Quality, Medallion Architecture, Data Modeling, API Development, ETL/ELT, Data Lakes

Industry

Information Technology & Services

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 largest e-commerce platform in the region. 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. 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. 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.

Responsibilities

The Senior Data Engineer will be responsible for designing, building, and maintaining scalable ETL/ELT pipelines, optimizing Data Warehouse infrastructure (ClickHouse), and implementing CI/CD workflows for engineering excellence. This role also involves building automated data quality monitoring, developing reverse ETL pipelines, and managing real-time data ingestion streams.