Data Engineer (E-commerce)

Location: Remote in Nigeria, Egypt, or Uzbekistan; Sunday–Thursday, 9:00 AM–6:00 PM Saudi Arabian Time Zone

Company

hirify.global is a fast-growing Saudi re-commerce marketplace building a convenient and trustworthy C2C platform for second-hand products across the MENA region and beyond.

What you will do

• Design, build, and maintain scalable data pipelines supporting analytics, ML models, and business reporting.
• Integrate databases, APIs, and third-party tools into centralized data lakes and warehouses through ETL/ELT workflows.
• Collaborate with data scientists, analysts, product teams, engineers, and business stakeholders to make data clean, accessible, and optimized for downstream use.
• Implement data quality checks, monitoring, validation, documentation, governance, and security practices.
• Support cloud-based data storage and retrieval, and monitor, troubleshoot, and optimize large-scale real-time data flows.
• Apply query optimization and cost-efficient storage practices while documenting schemas and workflows.

Requirements

• Proficiency in Python and SQL for data engineering tasks, including 2+ years of production SQL and Python development.
• Strong understanding of ETL/ELT processes, data warehousing, and data modeling.
• Hands-on experience with cloud platforms such as AWS, GCP, or Azure and data storage solutions including BigQuery, Redshift, or Snowflake.
• Familiarity with data orchestration tools; Airflow and Airbyte are required.
• Dataform is required.
• Knowledge of data governance, security, and best practices for handling sensitive data.
• Familiarity with Git and GitHub.
• Strong ability to elicit requirements from cross-functional stakeholders and translate them into actionable data engineering tasks.
• Preferably 4 years of total experience, including 2+ years in data engineering building and maintaining data pipelines.

Nice to have

• Experience with containerization and deployment tools such as Docker and Kubernetes.
• Experience working in fast-growing startup environments.
• Exposure to real-time data processing frameworks such as Kafka, Spark, or Flink.

Culture & Benefits

• Work at a fast-scaling Saudi marketplace with direct impact on how data supports business decisions.
• Culture focused on ownership, speed, constant improvement, and reduced hierarchy and red tape.
• Collaboration with data scientists, analysts, product teams, engineering, and business stakeholders.
• Artificial intelligence tools may support parts of the hiring process, while final decisions are made by humans.