Senior Python Data Scraping Engineer (Freelance)

About This Opportunity

Our talent team is representing a confidential technology client seeking a Senior Python Data Scraping Engineer for a specialized freelance engagement in Italy. This remote, part-time role focuses on building and maintaining advanced web scraping workflows for real-world data extraction challenges.

You'll work independently on complex data collection projects, applying your technical expertise to deliver accurate, structured datasets from diverse web sources. This engagement is ideal for experienced engineers who excel at solving non-trivial scraping problems and can work systematically without close supervision.

Responsibilities

• Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets
• Leverage custom workflows and available tools to accelerate data collection, validation, and task execution while meeting defined requirements
• Ensure reliable extraction from dynamic and interactive web sources, adapting approaches to handle JavaScript-rendered content and changing site behavior
• Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery
• Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes

What We're Looking For

Required Experience:

• At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development
• Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
• Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
• Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
• Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
• English proficiency: Upper-intermediate (B2) or above

Technical Requirements:

• Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
• Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
• Strong attention to detail and commitment to data accuracy
• Self-directed work ethic with ability to troubleshoot independently

Nice to Have:

• Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields
• GitHub portfolio demonstrating scraping projects

Time Commitment: Estimated 10–20 hours per week during active project phases (freelance engagement)

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will conduct an initial screening to understand your technical background and project fit. Qualified candidates will then be submitted to our client for consideration. Please do not attempt to contact the client directly—all communication should go through our team at Get A Job.ai.

Pay

Pay via Get A Job.ai will be discussed with qualified candidates based on experience level and project scope. Compensation details will be provided during the screening process.

Equal Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We welcome applications from candidates of all backgrounds and work to ensure fair consideration throughout our process.