
Senior Python Data Scraping Engineer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in France.
• 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.
• 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.
• 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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