Mindrift is seeking a highly skilled Python Data Scraping Engineer to join the Tendem project and drive specialized data scraping workflows for real-world applications. This freelance, part-time remote role involves applying web scraping, data extraction, and data processing expertise to deliver accurate, reliable results. Based remotely in Vila Nova de Gaia, Portugal, you will own end-to-end data extraction workflows across complex websites, ensure complete coverage and delivery of structured datasets, and adapt to dynamic content and changing site behavior. You will leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. You will enforce data quality through validation checks, cross-source consistency controls, formatting adherence, and meticulous verification prior to delivery. You will scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes. Qualifications: At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development. A Bachelor's or Master's degree in Engineering, Applied Mathematics, Computer Science, or related fields is a plus. Strong experience in Python web scraping (BeautifulSoup, Selenium, or similar), including dynamic content and APIs via proxies. Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets). Hands-on experience with LLMs and AI framewo

Mindrift is seeking a highly skilled Python Data Scraping Engineer to join the Tendem project and drive specialized data scraping workflows for real-world applications. This freelance, part-time remote role involves applying web scraping, data extraction, and data processing expertise to deliver accurate, reliable results. Based remotely in Vila Nova de Gaia, Portugal, you will own end-to-end data extraction workflows across complex websites, ensure complete coverage and delivery of structured datasets, and adapt to dynamic content and changing site behavior. You will leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. You will enforce data quality through validation checks, cross-source consistency controls, formatting adherence, and meticulous verification prior to delivery. You will scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes. Qualifications: At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development. A Bachelor's or Master's degree in Engineering, Applied Mathematics, Computer Science, or related fields is a plus. Strong experience in Python web scraping (BeautifulSoup, Selenium, or similar), including dynamic content and APIs via proxies. Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets). Hands-on experience with LLMs and AI framewo