Web Scraping Engineer - Python (Mid/Senior) (Oxylabs, UAB)
Darbdavys: Oxylabs, UAB
Miestas: Vilnius
Paskelbta: 2026-10-25
💶 4500 - 7000 €/mėn. Prieš mokesčius · visa darbo diena
Kandidatuoti šaltinyje (cv.lt) →
Job description:
The team waiting for you:
We run one of the most advanced and largest scraping and parsing products in the world.
We serve thousands of requests per second with a very high success rate.
Our scrapers and parsers are used by leading e-commerce, market intelligence, and AI industry players making the work challenging and truly global.
The team is a blend of different interesting personalities from different walks of life and nationalities.
We, as a team, will support you in learning how to build your own scrapers and will share all the tips, tricks and hacks we know to ensure that you are onboard in no time.
In this role, you’ll:
Develop scalable scrapers.
Define resilient scraping strategies, unblock websites for scraping
Improve observability in the system.
Develop back-end solutions for scraping & parsing problems of various magnitudes.
Maintain the current system and develop new features related to scraping & parsing.
Requirements:
Experience working with Python.
Understanding of computer science, including data structures, algorithms, computability and complexity.
Version Control skills using Git.
Knowledge on how to unblock websites for scraping.
Is able to use different scraping techniques & open-source tools to build scrapers.
Is comfortable with using Dev Tools.
Network (TLS/SSL) knowledge.
Worked with browser automations.
Knows their way around asynchronous programming.
Nice to have
Web development knowledge.
Knows how to use CSS Selectors / XPaths for parsing.
Experience working with Go & C++.
Worked on browser source code.
Knowledge of any front-end framework.
Experience working with Pydantic, FastAPI, SQLAlchemy.
Has experience working with Redis, MySQL, Docker, Kubernetes, Elasticsearch, Kibana and monitoring tools like Grafana, Prometheus.
Experience with machine learning that is scraping domain-specific.
Has experience in building scalable systems.
Company offers:
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, 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.
The team waiting for you:
We run one of the most advanced and largest scraping and parsing products in the world.
We serve thousands of requests per second with a very high success rate.
Our scrapers and parsers are used by leading e-commerce, market intelligence, and AI industry players making the work challenging and truly global.
The team is a blend of different interesting personalities from different walks of life and nationalities.
We, as a team, will support you in learning how to build your own scrapers and will share all the tips, tricks and hacks we know to ensure that you are onboard in no time.
In this role, you’ll:
Develop scalable scrapers.
Define resilient scraping strategies, unblock websites for scraping
Improve observability in the system.
Develop back-end solutions for scraping & parsing problems of various magnitudes.
Maintain the current system and develop new features related to scraping & parsing.
Requirements:
Experience working with Python.
Understanding of computer science, including data structures, algorithms, computability and complexity.
Version Control skills using Git.
Knowledge on how to unblock websites for scraping.
Is able to use different scraping techniques & open-source tools to build scrapers.
Is comfortable with using Dev Tools.
Network (TLS/SSL) knowledge.
Worked with browser automations.
Knows their way around asynchronous programming.
Nice to have
Web development knowledge.
Knows how to use CSS Selectors / XPaths for parsing.
Experience working with Go & C++.
Worked on browser source code.
Knowledge of any front-end framework.
Experience working with Pydantic, FastAPI, SQLAlchemy.
Has experience working with Redis, MySQL, Docker, Kubernetes, Elasticsearch, Kibana and monitoring tools like Grafana, Prometheus.
Experience with machine learning that is scraping domain-specific.
Has experience in building scalable systems.
Company offers:
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, 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.