Data Engineer

Role: Data Engineer

Location: Remote

Work Week: Sunday - Thursday

Work Timings: 9:00 AM - 6:00 PM (Saudi Arabian Time Zone)

About Us

Soum is on a mission to revolutionize e-commerce in the MENA region and beyond by building the most convenient and trustworthy re-commerce marketplace in the region. We're reshaping how C2C marketplaces operate, making buying and selling second-hand products seamless and reliable. Since our launch in July 2021, Soum has become one of the fastest-growing startups in the region, achieving rapid expansion in both our team and product offerings. In recognition of our impact and growth, we were proudly named one of the Top 10 LinkedIn Startups in Saudi Arabia for 2024.

Overview

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, and ensuring data quality, reliability, and accessibility across the organization. Working closely with data scientists, analysts, and product teams, you’ll enable data-driven insights while 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.

Roles & Responsibilities

• Design, build, and maintain scalable and reliable data pipelines to support analytics, ML models, and business reporting.
• Collaborate with data scientists and analysts to ensure data is available, clean, and optimized for downstream use.
• Implement data quality checks, monitoring, and validation processes.
• Design efficient ETL/ELT workflows and integrate multiple data sources (databases, APIs, third-party tools) into centralized storage (data lakes/warehouses).
• Support cloud-based infrastructure for data storage and retrieval.
• Monitor, troubleshoot, and optimize existing pipelines for large-scale, real-time data flows.
• Apply best practices for query optimization and cost-efficient storage.
• Partner with product, engineering, and business stakeholders to gather requirements.
• Document workflows, schemas, and processes while supporting a culture of reliability, governance, and security.

Requirements:

• 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 withdata orchestration toolsAirflow, 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.

Experience:

• 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 inFast-growing startup environments is a plus.
• Exposure to real-time data processing frameworks (Kafka, Spark, Flink) is a plus.