Senior Python Data Scraping Engineer (Freelance)

Mindrift is the company behind the Tendem project, connecting specialists with innovative technology projects to help develop high-quality AI technologies by combining real-world expertise with advanced AI development efforts.

• 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 in scripting, automation, and data extraction workflows.
• Experience solving non-trivial problems and working with modern development tools and technologies.
• Ability to systematically collect, structure, and validate data from diverse sources.
• Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.
• Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).
• Background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, 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 (LangChain, OpenRouter, or similar) applied to automation tasks.
• Strong attention to detail and commitment to data accuracy.
• Self-directed work ethic with ability to troubleshoot independently.
• English proficiency: Upper-intermediate (B2) or above (required).

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