Senior Web Scraping Engineer Homebased

Job Description

We are hiring a Data Engineer focused on expanding and maintaining our data coverage. You will be responsible for connecting new data sources and ensuring they are reliably integrated into our pipelines.

We have a large and growing list of sources to onboard. Your role is to turn these into stable, recurring data flows that continuously deliver fresh, structured data.

Responsibilities

• Data ingestion and integration - Connect new data sources through APIs or scraping, transform them into our data model, and ensure they are reliably integrated into our pipelines.
• Automation and reliability - Build and maintain recurring pipelines that keep data up to date, monitor performance, and ensure stability across all connected sources.
• Data quality and structure - Ensure incoming data meets our quality standards, is properly structured, and fits seamlessly into our existing datasets.
• Scalability and maintenance - Continuously improve and maintain existing integrations, making them robust, reusable, and easy to extend as we scale coverage.
  
  

• 5+ years of hands-on experience in data engineering or backend development
• Strong experience with Python in production environments
• Proven experience with web scraping and API integrations
• Experience with Databricks or similar data platforms
• Ability to work pragmatically and deliver at a fast and steady pace
• Fluent in English (near-native level)
• High ownership and ability to work independently in a remote setup
  
  

• Homebased
• M to F, 1pm to 10pm PH Time