4 days ago
Remote, SwedenSenior
Responsibilities
- Own end-to-end data extraction workflows across complex websites and deliver accurate, structured datasets.
- Use custom workflows and tools to accelerate data collection, validation, and task execution.
- Extract data from dynamic and interactive sources, including JavaScript-rendered content, while adapting to site changes.
- Apply validation, cross-source consistency checks, formatting controls, and systematic verification to maintain data quality.
- Scale scraping operations through efficient batching or parallelization, monitor failures, and maintain stability against site structure 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.
- Experience extracting data from complex structures such as hierarchies, archived pages, and inconsistent HTML.
- Experience with data cleaning, normalization, validation, and delivery in CSV, JSON, or Google Sheets.
- Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.
- Experience with AWS or equivalent cloud infrastructure and Docker containerization in real workflows.
- Hands-on experience with LangChain, OpenRouter, or similar LLM frameworks for automation tasks.
- Strong attention to detail, independent troubleshooting ability, and a self-directed work ethic.
- Upper-intermediate English proficiency at B2 level or above.
- A bachelor’s or master’s degree in engineering, applied mathematics, computer science, or a related technical field is preferred.
- A GitHub link is a plus.
Benefits
- Remote freelance work on a part-time project.
- Estimated workload of 10–20 hours per week during active project phases; workload is not guaranteed.
- Compensation of up to $45 per hour equivalent, depending on level and pace of contribution.
Tech Stack
Categories
Data Engineering
