Data Engineer - Web Scraping

About the role

This position is based in Saudi Arabia and focuses on building scalable web‑scraping solutions and data pipelines that feed business‑critical insights. You will work closely with analysts, engineers and cross‑functional teams to deliver reliable datasets that support strategic decision‑making.

Key responsibilities

• Design, develop and maintain automated web scrapers for structured and unstructured data sources.
• Clean, transform, validate and manipulate large datasets using Python and Pandas.
• Build and maintain data ingestion pipelines into databases or data warehouses.
• Schedule, monitor and optimise scraping workflows with orchestration tools such as Apache Airflow.
• Implement quality‑control checks to ensure data integrity, consistency and availability.
• Investigate and resolve data pipeline issues and time‑sensitive production incidents.
• Enhance internal tools, automation frameworks and platform capabilities to improve operational efficiency.
• Collaborate with cross‑functional engineering teams to implement scalable and maintainable data processing workflows.

Required profile

• Bachelor's or Master's degree in Computer Science or a related technical discipline.
• 2‑4 years of professional software development experience.
• Strong problem‑solving mindset and proactive attitude.

Required skills

• Python programming
• SQL and database knowledge
• Pandas library for data cleaning and transformation
• Web technologies: HTML, JavaScript, APIs
• Web‑scraping frameworks/tools: Selenium, Scrapy, XPath, Fiddler, Postman
• Workflow orchestration: Apache Airflow