Python Scraping Developer
Web Scraping & Automation
Highlights
Remote-first role open to candidates from Brazil / South America, Turkey, and Northern Africa
Work on a data-driven SaaS platform focused on large-scale web data collection and automation
Full ownership of scraping projects – from design to deployment and maintenance
Fully remote, flexible working hours within a small, international team
About the company
Our client is a Berlin-based, remote-first SaaS company developing data-driven products for international clients.
They combine cutting-edge technology with a culture of freedom, ownership, and collaboration.
You’ll join a small but highly skilled team that values initiative, precision, and technical curiosity.
The company offers an environment where developers have real influence over architecture and tools, while working on challenging large-scale scraping and data automation projects.
Role Overview
We’re looking for a Python Developer focused on web scraping — someone who enjoys tackling complex data extraction challenges, building scalable crawlers, and keeping large scraping systems running reliably in production.
You’ll be responsible for developing, maintaining, and improving high-volume scraping pipelines, ensuring the data we collect is accurate, consistent, and delivered on time.
Responsibilities
Develop, test, and deploy web scraping scripts and crawlers using Python (Scrapy, Playwright, Selenium, Requests, BeautifulSoup, etc.)
Design and maintain asynchronous scraping systems capable of handling large-scale data extraction
Implement and optimize anti-blocking / proxy rotation strategies
Monitor, debug, and continuously improve scraper reliability and performance
Manage and automate data ingestion pipelines and integrations with REST APIs
Collaborate with other engineers to enhance tooling, logging, and monitoring for scraping systems
Support DevOps-related tasks (Docker, CI/CD, Linux environments)
Requirements
Proven hands-on experience in web scraping and data extraction with Python
Solid understanding of HTML parsing, browser automation, and async programming
Experience with web scraping frameworks (Scrapy, Playwright, Selenium, or similar)
Knowledge of REST APIs, HTTP protocols, and proxy management
Familiarity with SQL and NoSQL databases for storing and processing collected data
Experience with Docker, Linux, and version control (Git)
Fluent in English (written and spoken)
Self-driven, detail-oriented, and capable of taking ownership of projects
Nice to have:
Experience with asyncio, Celery, or distributed task management
Familiarity with cloud services (AWS, GCP, or similar)
Understanding of data quality validation and pipeline monitoring tools
What’s in it for you
Competitive compensation
Fully remote role within the listed regions
Flexible working hours and collaborative culture
Freedom to choose tools and influence technical decisions
Regular team meetups (online and on-site)
Supportive environment with a strong learning culture
- Department
- Data Science / AI / ML
- Role
- Data Engineer
- Locations
- Multiple locations
- Remote status
- Fully Remote
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