2025-01-23 11:16:08

Web Scraping Engineer

Oxylabs
4400 - 7000 €/m Gross

Job Description

The Web Intelligence team is responsible for building and delivering large-scale, custom datasets for clients who need end-to-end scraping solutions. As a Web Scraping Engineer, you will jump right into building high-scale crawlers and parsers, bringing strong Python or Go skills to our primarily data engineering-focused group. With a rapidly growing influx of project-based requests, we need someone who can take immediate ownership and leverage AI tools to build solutions from scratch. Your main challenge will be navigating a fast-paced environment where speed and delivery are prioritized over absolute perfection.

  • Design and build high-scale crawlers, scrapers, and the surrounding infrastructure capable of handling thousands to millions of requests.
  • Take client requirements and own projects end-to-end, building custom solutions from scratch without waiting for detailed specifications.
  • Write functional, reusable code in Python or Go, heavily leveraging AI-driven IDEs to maximize output and efficiency.
  • Work within our data platform to enable the seamless building and delivery of large datasets.
  • Use internal scraping tools or build new ones as priorities and client routes change.
  • Justify technical decisions, perform code reviews, and collaborate closely with the team to ensure quality solutions.

Requirements

  • Multiple years of backend development experience with Python or Go (or strong web scraping expertise driven by AI tools).
  • Familiarity with web scraping fundamentals, parsing, headless browsers, and databases like PostgreSQL or BigQuery.
  • High level of independence—you can align on an approach in a discussion and then fully own the delivery.
  • A business-first mentality that prioritizes speed and delivery over perfection, with a "thick skin" for direct feedback.
  • Hands-on experience and a strong comfort level with AI-driven development tools (such as Cursor, Claude Code, or Antigravity).

Nice to have

  • Experience in data engineering: ETL/ELT pipelines, Spark, Airflow, Dagster, etc.

Company offers

  • Growth & Learning: 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing.
  • Health & Well-being: Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app.
  • Celebration & Community: Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together.
  • Plus bonus vacation days, paid life-moment days off, barista coffee, and all the tools you need.