Web Scraping Engineer

Source.ai

Województwo mazowieckie

On-site

PLN 234,000 - 368,000

Full time

23 hours ago
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Benefits offered by this job

Private health insurance
Psychotherapy
Wellness app
Overseas workation

Job summary

Oxylabs, part of Source.ai, is seeking a Web Scraping Engineer to design and build high-scale crawlers and parsers using Python or Go. You will own projects from client requirements to delivery, leveraging AI-assisted development and a data platform to produce large datasets.

You will work in a fast-paced environment, collaborating with the Web Intelligence team to ensure quality solutions and rapid delivery while maintaining a strong business-first mindset.

Qualifications

  • 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.
  • Business-first mentality prioritizing speed and delivery over perfection, with a thick skin for direct feedback.
  • Hands-on experience with AI-driven development tools (such as Cursor, Claude Code, or Antigravity).

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, 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

Skills

Python
Go
Web scraping
Independence
AI-driven tools

Tools

PostgreSQL
BigQuery
Playwright
Claude Code
Cursor
Airflow

Job description

Oxylabs is an enterprise-grade web data infrastructure, purpose-built for organizations operating at global scale. It helped define what public web data access could look like and still sets the standard others build against.

That same ambition runs through the culture: engineers take ownership of problems no one else has solved and push each other to raise the bar.

The team waiting for you:

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.

In this role, you will:
  • 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
Your skills & experiences:
  • 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
Tech stack:
  • Python, Go
  • Databases: PostgreSQL, BigQuery
  • Hosting: Google Cloud, Hetzner, private cloud
  • Scraping tools: Playwright, internal APIs, Camoufox, headless browsers
  • Data Engineering: Airflow
  • AI tools: Claude Code, Cursor
Salary & Benefits
  • Gross salary: 21,000 - 33,000 PLN/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies. Growth & Learning: 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing
  • Health & Well-being: Private health insurance, psychotherapy, and a wellness app
  • Celebration & Community: Team events, an overseas workation, and plenty of ways to mark milestones together
  • Plus bonus vacation days, paid life-moment days off, and all the tools you need. See the full list of benefits here: https://source.ai/career/blog/benefits

Oxylabs is part of Source, a data ecosystem for a world built on intelligence. One of five independent technology companies connected by shared standards, expertise, and a belief in responsible access to web data.

Up for the challenge? Let’s talk!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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