Web Scraping Engineer (Remote)

About the role

Oxylabs builds enterprise-grade web data infrastructure for global organizations, and its Web Intelligence team delivers large-scale, custom datasets for clients needing end-to-end scraping solutions. As a Web Scraping Engineer you will build high-scale crawlers and parsers, bringing strong Python or Go skills to a data engineering-focused group. The role suits someone who takes immediate ownership, leverages AI tools to build solutions from scratch, and thrives in a fast-paced environment where speed and delivery are prioritized.

Key responsibilities

• 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, using AI-driven IDEs to maximize output and efficiency.
• Work within the data platform to deliver large datasets, and use or build internal scraping tools as priorities and client needs change.
• Justify technical decisions, perform code reviews and collaborate with the team to ensure quality solutions.

Required profile

• 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 such as PostgreSQL or BigQuery.
• High level of independence and a business-first mentality that prioritizes speed and delivery over perfection, with resilience to direct feedback.
• Nice to have: data engineering experience (ETL/ELT pipelines, Spark, Airflow, Dagster).

Required skills

• Python or Go
• PostgreSQL, BigQuery
• Playwright, headless browsers, internal scraping APIs
• Airflow (nice to have)
• AI-driven development tools such as Cursor, Claude Code or Antigravity

What we offer

• Gross salary of 21,000 to 33,000 PLN per month, open to discussion based on skills.
• Hybrid work (3 office days, 2 days working from home) and WFA options.
• 40+ internal learning options, external conferences, mentorship and knowledge sharing.
• Private health insurance, psychotherapy and a wellness app.
• Team events, an overseas workation, team-building budget and extra days off.