Data Engineer

Summary

Join AlGooru, a leading private tutoring platform in Saudi Arabia, as their next Data Engineer. You will be part of the Engineering tribe, building and deploying automated data pipelines, improving data delivery efficiency, and powering real-time business dashboards. A day in your life will involve designing, building, and maintaining data pipelines, partnering with other teams to define analytics needs, ensuring data pipeline reliability, optimizing queries, and enforcing data quality standards. You will need 2+ years of experience in data engineering, proficiency in SQL, DBT, and data modeling, and experience with ETL tools and data warehouses. AlGooru offers a competitive salary, ESOP shares, quarterly bonuses, unlimited PTO, and a vibrant team culture.

Requirements

• 2+ years of experience in data engineering, analytics engineering, or similar roles
• Advanced proficiency in SQL, DBT, and data modeling best practices
• Hands-on experience with ETL tools and data warehouses like BigQuery, Snowflake, or Redshift
• Experience with pipeline orchestration tools (e.g., Airflow, Prefect, Dagster)
• Familiarity with Python or scripting languages
• Strong understanding of data governance, observability, and version control
• Comfortable working in a fast-paced, agile, remote team environment

Responsibilities

• Build and deploy 3 new automated data pipelines across Product, Learning, and Business domains within the first 90 days
• Improve data delivery efficiency by 40% by optimizing queries, storage layers, and warehouse logic within 6 months
• Power 5+ real-time business dashboards by Q4 2025 through scalable, structured data availability
• Design, build, and maintain robust and scalable data pipelines using modern data stack tools
• Partner with Product, Operations, and Learning teams to gather and define analytics and reporting needs
• Ensure data pipeline reliability, performance, and integrity across systems
• Optimize SQL queries and ETL workflows for speed, scalability, and accuracy
• Own and enforce data quality, validation checks, and documentation standards
• Structure and deliver clean data models to support reporting tools and dashboards
• Continuously propose and implement improvements in data architecture and analytics engineering workflows

Benefits

• Competitive salary
• ESOP shares
• Quarterly bonuses
• Work from anywhere
• Unlimited PTO