Mindrift is seeking a highly skilled Python Data Scraping Engineer to join the Tendem project as a freelance, part-time contributor. This remote role is based from Nice, France. Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and delivery of structured datasets. Leverage tools and custom workflows (e.g., Apify, OpenRouter) to accelerate data collection, validation, and task execution. Extract data from dynamic and interactive sources, addressing JavaScript-rendered content and site changes. Enforce data quality with validation checks, cross-source consistency, and formatting standards prior to delivery. Scale scraping operations for large datasets, monitor failures, and maintain stability against site structure changes. Qualifications: At least 3+ years in data engineering, web scraping, automation, or software development. Bachelor's or Master's in Engineering, Applied Math, Computer Science, or related field is a plus. Strong Python web scraping experience (BeautifulSoup, Selenium or similar), including dynamic content and APIs via proxies. Experience extracting data from complex structures, data cleaning, normalization, and delivering structured datasets (CSV, JSON). Hands-on experience with GitHub; English proficiency at least B2 (Upper-Intermediate). Nice-to-have: Experience with LLMs and AI frameworks to enhance automation. Time & compensation: This project expects about 10–20 hours per week during active phases. Compensation up to $37 per hour, depending on level and contribution. This is a fre

Mindrift is seeking a highly skilled Python Data Scraping Engineer to join the Tendem project as a freelance, part-time contributor. This remote role is based from Nice, France. Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and delivery of structured datasets. Leverage tools and custom workflows (e.g., Apify, OpenRouter) to accelerate data collection, validation, and task execution. Extract data from dynamic and interactive sources, addressing JavaScript-rendered content and site changes. Enforce data quality with validation checks, cross-source consistency, and formatting standards prior to delivery. Scale scraping operations for large datasets, monitor failures, and maintain stability against site structure changes. Qualifications: At least 3+ years in data engineering, web scraping, automation, or software development. Bachelor's or Master's in Engineering, Applied Math, Computer Science, or related field is a plus. Strong Python web scraping experience (BeautifulSoup, Selenium or similar), including dynamic content and APIs via proxies. Experience extracting data from complex structures, data cleaning, normalization, and delivering structured datasets (CSV, JSON). Hands-on experience with GitHub; English proficiency at least B2 (Upper-Intermediate). Nice-to-have: Experience with LLMs and AI frameworks to enhance automation. Time & compensation: This project expects about 10–20 hours per week during active phases. Compensation up to $37 per hour, depending on level and contribution. This is a fre