4 days ago
Remote, United Kingdom +5 moreSenior
Responsibilities
- Own end-to-end data extraction workflows across complex websites and deliver accurate, complete structured datasets.
- Use custom workflows and tools to accelerate data collection, validation, and task execution.
- Extract data from JavaScript-rendered and interactive sources while adapting to changing site behavior.
- Apply validation, cross-source consistency checks, formatting controls, and systematic verification before delivery.
- 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.
- Experience extracting data from complex structures such as hierarchies, archived pages, and inconsistent HTML.
- Experience with data cleaning, normalization, validation, and 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 containerization.
- Hands-on experience with LLM frameworks such as LangChain or OpenRouter for automation tasks.
- English proficiency at Upper-intermediate (B2) level or above.
- A bachelor’s or master’s degree in Engineering, Applied Mathematics, Computer Science, or a related technical field is a plus.
- A GitHub link is a plus.
Benefits
- Fully remote freelance opportunity.
- Part-time project workload estimated at 10–20 hours per week during active phases, with no guaranteed workload.
- Compensation of up to $45 per hour equivalent, depending on contribution level and pace.
Tech Stack
Categories
Data Engineering
