10 дней назад
Web Scraping Engineer (Python/Go)
4 400 - 7 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Web Scraping Engineer (Python/Go) (web scraping and data engineering): Building high-scale crawlers, parsers, and infrastructure for custom client datasets with an accent on Python or Go development, data platforms, and AI-assisted engineering. Focus on handling millions of requests, designing end-to-end scraping solutions, and delivering reusable systems under fast-changing project requirements.
Location: Vilnius, Lithuania; hybrid workplace
Gross salary: €4,400–€7,000 per month, with flexibility based on skills and competencies.
Company
A data and web intelligence company building large-scale custom datasets and end-to-end web scraping solutions for clients.
What you will do
- Design and build high-scale crawlers, scrapers, parsers, and supporting infrastructure handling thousands to millions of requests.
- Own client projects end to end, translating requirements into custom scraping solutions built from scratch.
- Develop functional and reusable code in Python or Go, using AI-driven development tools to improve delivery speed.
- Work with the data platform to build and deliver large datasets.
- Use internal scraping tools or create new tools as priorities and client routes change.
- Justify technical decisions, conduct code reviews, and collaborate on reliable solutions.
Requirements
- Multiple years of backend development experience with Python or Go, or strong web scraping experience supported by AI tools.
- Knowledge of web scraping fundamentals, parsing, headless browsers, and databases such as PostgreSQL or BigQuery.
- Ability to work independently, align on an approach, and take full ownership of delivery.
- Business-first mindset focused on speed and delivery, with comfort receiving direct feedback.
- Hands-on experience with AI-driven development tools such as Claude Code, Cursor, or Antigravity.
- Ability to work in a hybrid setup in Vilnius, Lithuania.
Nice to have
- Data engineering experience with ETL/ELT pipelines, Spark, Airflow, or Dagster.
Culture & Benefits
- Access to 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing.
- Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app.
- Team events, an overseas workation, and quarterly team-building budgets.
- Bonus vacation days, paid life-moment days off, barista coffee, and required work tools.
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