Senior Python Data Scraping Engineer

Posted 1 day ago

This is a fully remote position, open to applicants in France.

📋 Description

• Take ownership of comprehensive data extraction processes from intricate websites.

• Ensure thorough coverage, precision, and consistent delivery of structured datasets.

• Leverage available tools and custom workflows to enhance data collection, validation, and task execution efficiency.

• Reliably extract data from dynamic and interactive web sources, adapting to JavaScript-rendered content and evolving site behavior.

• Uphold data quality through validation checks, consistency controls across sources, formatting specifications, and systematic verification processes.

• Scale scraping operations for extensive datasets by utilizing effective batching or parallelization techniques.

• Monitor failures and maintain operational stability in response to minor changes in site structure.

• Employ tools such as Apify, OpenRouter, and other technologies in conjunction with technical expertise.


⛳️ Requirements

• Minimum of 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).

• Proficiency in English: Upper-intermediate (B2) or higher (required).

• Extensive experience in Python web scraping, including frameworks like BeautifulSoup, Selenium, or similar technologies, focusing on dynamic content (JavaScript, AJAX, infinite scroll), and APIs via proxies.

• Proven track record of extracting data from complex structures, including hierarchies, archived pages, and inconsistent HTML.

• Strong background in data cleaning, normalization, and validation, delivering structured datasets in formats such as CSV, JSON, or Google Sheets.

• Demonstrated experience in managing anti-bot mechanisms and dynamic site structures at scale.

• Familiarity with cloud infrastructure such as AWS or equivalent.

• Experience with containerization using Docker.

• Practical experience with LLM frameworks like LangChain, OpenRouter, or similar, applied to automation tasks.

• Exceptional attention to detail and a commitment to data accuracy.

• Self-directed work ethic with the capability to troubleshoot independently.

• Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is advantageous.

• A GitHub link is a plus.


🏝️ Benefits

• Freelance opportunity.

• Part-time workload estimated at 10–20 hours per week during active project phases.

• Flexible remote work.

• Opportunity to contribute to innovative technology and AI development projects.

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