[Hiring] Data Engineer @SOUM

Role Description

We’re seeking a Data Engineer to design, build, and maintain the data infrastructure that underpins our analytics, ML models, and decision-making processes. You’ll be responsible for:

• Building scalable data pipelines.
• Integrating diverse data sources.
• Ensuring data quality, reliability, and accessibility across the organization.
• Working closely with data scientists, analysts, and product teams to enable data-driven insights.
• Optimizing for performance and scalability.

This is a great opportunity to have a direct impact on how data is leveraged across a fast-growing company.

Qualifications

• Proficiency in Python and SQL for data engineering tasks.
• Strong understanding of ETL/ELT processes, data warehousing, and data modeling.
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and data storage solutions (BigQuery, Redshift, Snowflake, etc.).
• Familiarity with data orchestration tools (Airflow, Airbyte is a must).
• Experience with containerization & deployment tools (Docker, Kubernetes) is a plus.
• Knowledge of data governance, security, and best practices for handling sensitive data.
• Familiarity to work with Git and GitHub.
• Dataform is a must.
• Strong skills in eliciting requirements from cross-functional stakeholders and translating them into actionable data engineering tasks.

Requirements

• Preferably total 4 years of experience.
• 2+ years in data engineering, building and maintaining data pipelines.
• 2+ years of SQL and Python development in production environments.
• Experience working in fast-growing startup environments is a plus.
• Exposure to real-time data processing frameworks (Kafka, Spark, Flink) is a plus.

Benefits

• Be part of a fast-scaling Saudi marketplace where Finance has real influence over how the business is run.
• Work directly with senior Finance leadership and gain broad exposure across accounting, audit, and financial operations.
• A culture that values ownership, speed, and constant improvement over hierarchy and red tape.