Senior Python Data Scraping Engineer (Freelance)

Mindrift operates the Tendem project, connecting specialists with AI projects from major tech innovators to unlock the potential of Generative AI by combining human expertise and AI.

• At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development.
• Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
• Strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.
• Experience with Python web scraping tools such as BeautifulSoup and Selenium, including handling dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.
• Proven ability to extract data from complex structures including hierarchies, archived pages, and inconsistent HTML.
• Background in data cleaning, normalization, and validation, delivering structured datasets in formats like CSV, JSON, and Google Sheets.
• Experience handling anti-bot mechanisms and dynamic site structures at scale.
• Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker).
• Hands-on experience with LLM frameworks such as LangChain and OpenRouter applied to automation tasks.
• Strong attention to detail and commitment to data accuracy.
• Self-directed work ethic with ability to troubleshoot independently.
• English proficiency at Upper-intermediate (B2) level or above.

• Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
• Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
• Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
• Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
• Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Candidates must have English proficiency at Upper-intermediate (B2) or above.