Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe. We are looking for an Scraping Engineer who will design, build, and operate large-scale, resilient web scraping systems, with a focus on Google and Google-like search environments. This role sits at the intersection of data engineering, reverse engineering, and systems reliability, and is critical to delivering accurate, timely, and trustworthy data at scale. Our client is a leader in adopting coding with AI tools. The role is ideal for someone who believes in agentic coding and would like to improve their skills
Задачи
Design and maintain large-scale Python scraping systems that operate reliably against Google and other highly defended websites
Build scrapers for dynamic, JavaScript-heavy pages using browser automation and hybrid approaches
Continuously adapt to changes in page structure, request flows, and anti-automation mechanisms
Engineer robust extraction pipelines that prioritise data accuracy, consistency, and observability
Implement proxy, fingerprinting, and request-routing strategies to maximise stability and throughput
Monitor scrape health, detect failures early, and rapidly debug production issues
Optimise performance, cost, and latency across scraping infrastructure
Work closely with data engineers, data scientists, and product teams to ensure scraped data is usable and trusted
Document scraping logic and operational runbooks for long-term maintainability
Требования
Data Science UA is a service company with deep expertise in AI and Data Science
Professional experience with Python (or another main language, i.e. GoLang, Rust, JavaScript) including production-grade scraping systems
Experience scraping Google or similarly protected platforms
Understanding of HTTP, TLS, cookies, headers, redirects, and browser networking behaviour
Experience with tools such as Playwright, Selenium, Puppeteer, or equivalent browser automation frameworks
Knowledge of HTML parsing, DOM traversal, and data extraction techniques
Experience handling rate limiting, CAPTCHA, IP rotation, and bot detection systems
Comfortable working with asynchronous and concurrent scraping architectures
Experience running scrapers at scale in cloud environments
Debugging skills and ability to reason about complex failure modes
Experience with headless browser fingerprinting and anti-bot evasion techniques
Будет плюсом
Familiarity with containerisation and orchestration, such as Docker and Kubernetes
Experience with distributed task systems and job queues
Background in data quality monitoring and anomaly detection
Experience working with search, advertising, or competitive intelligence data
Startup Engineering culture
Remote working
Award-Winning Product
Stock Options
Trust-Based Vacation
Flexible Working Conditions
Career Growth
Monthly Hackdays & Training Days
Family Care Package
Swag Welcome Gift
Birthday Day Off
Regular Socials
Volunteer Days
Know someone, who'd be a great fit for this role? Submit your candidate via the referral program and receive a bonus for a successful recommendation!
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employment
Full-time
Условия
Home Office Stipend
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careerОсновная публикация · 2026-08-10
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