4 days ago
Remote, Portugal +4 moreSenior
Responsibilities
- Own end-to-end data extraction workflows across complex websites and deliver accurate, structured datasets.
- Use custom workflows and available tools to accelerate data collection, validation, and task execution.
- Extract data from dynamic and interactive web sources, including JavaScript-rendered content and changing site structures.
- Apply validation checks, cross-source consistency controls, formatting requirements, and systematic verification to maintain data quality.
- Scale scraping operations through efficient batching or parallelization, monitor failures, and maintain stability against site changes.
Requirements
- At least 5 years of relevant experience in data engineering, web scraping, automation, or software development.
- Strong Python web scraping experience with BeautifulSoup, Selenium or similar tools, including dynamic content and APIs via proxies.
- Ability to extract data from complex structures such as hierarchies, archived pages, and inconsistent HTML.
- Experience with data cleaning, normalization, and validation, delivering structured datasets in CSV, JSON, or Google Sheets.
- Experience handling anti-bot mechanisms and dynamic site structures at scale.
- Experience with AWS or equivalent cloud infrastructure and Docker in real workflows.
- Hands-on experience with LLM frameworks such as LangChain or OpenRouter for automation tasks.
- Upper-intermediate English proficiency at B2 level or above.
- A GitHub link is a plus; a bachelor's or master's degree in engineering, applied mathematics, computer science, or a related technical field is a plus.
Benefits
- Remote, freelance, part-time opportunity.
- Estimated workload of 10–20 hours per week during active project phases, with no guaranteed workload.
- Compensation of up to $40 per hour equivalent, depending on level and pace of contribution.
Tech Stack
Categories
Data Engineering
