Associate Software Engineer – Web Scraping
Posted Updated
Description
- Writing production-quality, well-tested scraper code in Python
- Learning the architecture of the collection platform including scrapers, proxy layer, queues and enrichment API
- Debugging issues across multiple components using logging, monitoring and alerting tools
- Working with proxy infrastructure including selection, rotation and recovery from blocks
- Participating in incident response and documenting findings
- Building depth in reliability engineering including SRE practices, resilience patterns and observability platforms
- Delivering work at a steady, predictable pace with minimal back-and-forth on requirements
- Understanding and automating build, test and deployment pipelines
- Using AI coding assistants regularly and experimenting with prompts and tooling
- Participating in code review and helping onboard newer teammates
- Around 1–2 years of professional software engineering experience or strong portfolio of internships, personal projects or open-source work
- Solid Python programming skills
- Some hands-on exposure to web scraping or automated data collection
- Working understanding of HTTP and networking fundamentals including requests, responses, headers, status codes, TLS and proxies
- Comfort writing tests and working in a code-review culture with Git
- Basic comfort with Docker and willingness to learn Kubernetes on the job
- Regular use of at least one AI coding assistant and curiosity about optimizing its use
- Habit of reading release notes, documentation and engineering blogs for languages and frameworks used
- Realistic self-assessment on timelines and proactive communication of blockers
- Ownership of outcomes and habit of surfacing problems and mistakes early
- Willingness to argue for the customer's perspective when technical convenience would degrade the product
- Openness to picking up Java/Spring technologies
- Strong collaboration and communication skills in English
- Exposure to scraping or browser automation tooling such as Playwright, Selenium, Puppeteer, Scrapy or low-level HTTP clients
- Exposure to cloud infrastructure, ideally AWS, or infrastructure as code
- Familiarity with monitoring tools such as Grafana, Prometheus, Kibana or InfluxDB
- Exposure to CI/CD pipelines, especially GitHub Actions
- Experience with Elasticsearch, Redis or DynamoDB
- Interest in fraud prevention, trust and safety or domains where data freshness is a product requirement
- Full-time employment
- Hybrid work location in Budapest
- Compensation range HUF 15.5M – HUF 21M with equity offers
- Fair compensation
- Employee stock ownership plan (ESOP)
- National holidays and generous holiday allowance
- Flexible work schedule
- Enhanced parental leave policies
- Private health insurance including coverage for spouse and dependents
- Hybrid working environment with office and remote work
- Employee assistance and mental health support platform
- Monthly company breakfast and weekly lunch allowance
- Access to learning and development opportunities including external L&D
- Weekly language courses in 40+ languages
- Book allowance for business books
- Canteen
- Cafe
- Corporate events
- Bicycle storage
- Free fruits, snacks
- Free coffee, soft drinks
- Free breakfast
- Free lunch
- Play corner
