Senior Data Engineer — Scalable Pipelines (Hybrid, Algiers)

Mouamah AI; United States; Hybrid; USD 7,300 - 11,000; Full time

Benefits offered by this job

Hybrid work arrangement

Based in Algiers, Algeria

Job summary

Mouamah AI is seeking an experienced data engineer to design and operate dependable data pipelines and platform capabilities for analytics and AI products at scale. The role covers batch and real-time processing, focusing on reliability, performance, security, and healthy production services.

You will design and build batch and streaming pipelines, implement monitoring and automated checks, and drive cost-efficient scaling.

Qualifications

• Five+ years of data engineering experience including production pipelines.
• Bachelor’s degree in computer science, software engineering, or related discipline.
• Proficiency in Python and SQL, plus workflow orchestration tools.
• Experience with streaming systems and data warehouses.
• Familiarity with cloud services and container-based environments.
• Experience reviewing code and mentoring engineers.

Responsibilities

• Design and build batch and streaming data ingestion and processing pipelines.
• Establish monitoring, automated checks, and recovery procedures for data workflows.
• Improve pipeline performance, operating cost, and capacity to scale.
• Apply access controls and support data security and governance.
• Contribute to code reviews and mentor less experienced engineers.

Skills

Python

SQL

Data pipelines

Education

Bachelor's degree in CS/SE or related

Tools

Airflow

Docker

Kubernetes

Job description

Mouamah AI is seeking an experienced data engineer to design and operate dependable data pipelines and platform capabilities for analytics and AI products at scale. The role covers batch and real-time processing, focusing on reliability, performance, security, and healthy production services.

You will design and build batch and streaming pipelines, implement monitoring and automated checks, and drive cost-efficient scaling.