Python Engineer - Data Scraping

Qualification:

• Bachelor’s degree in Computer Science
• 3+ years of experience in web scraping or data extraction

Required Skills:

• Proficiency with Python
• Experience with specification-Driven Extraction
• Hands‑on use of Scrapy‑LLM, Scrapy MCP Server, or similar systems that decouple field definitions from page structure
• Familiarity with frameworks that give LLMs browser control (Playwright + MCP, BMAD/TEA) to handle complex, non‑deterministic crawling tasks.
• Classical Scraping Fundamentals
• Data Validation & Storage – Ability to define validation rules within specifications and land clean data into SQL/NoSQL databases or data lake
• Basic API integration and authentication flows.
• HTTP, DOM, XPath, CSS.

Nice to Haves:

• Contributions to open-source scraping or AI-automation projects.
• Contributions to open-source scraping or AI-automation projects.
• Familiarity with data privacy engineering (GDPR, CCPA) baked into specification design.
• DevOps light – Docker, CI/CD for testing extraction specifications.

Mindset & Approach (Non-Negotiable):

• Strong belief that the future of scraping is declarative, not imperative. You’d rather write a schema that says “extract the price” than debug an XPath when a website redesigns.
• Looking to shift from “code that scrapes” to “systems that understand extraction”

Job Types: Full-time, Permanent

Pay: 1.00RON - 2.00RON per year

Work Location: Remote