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For Companies At a Glance
- Tasks: Design and maintain large-scale web scrapers while tackling advanced anti-bot systems.
- Company: Join a growing AI-focused data team in a fully remote role.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Why this job: Make an impact by ensuring high-quality data for innovative AI projects.
- Qualifications: Strong Python scraping experience and knowledge of anti-bot techniques required.
- Other info: Collaborate with talented teams and enjoy a dynamic work culture.
The predicted salary is between 34000 - 51000 £ per year.
Location: Fully remote
Salary: £40,000 – £60,000
The Opportunity
I'm looking for a Python Scraping Engineer to join a growing AI-focused data team.
What You'll Do
- Design, build, and maintain large-scale production web scrapers
- Tackle advanced anti-bot and detection systems
- Work with browser automation and dynamic, JavaScript-heavy sites
- Improve scraper reliability, throughput, and data quality
- Collaborate closely with data engineers and AI teams to ensure scraped data is trusted and usable
What We're Looking For
- Strong Python-based scraping experience (production, large-scale)
- Deep knowledge of:
- Anti-bot detection & evasion
- Browser fingerprinting
- CAPTCHA solving
- Proxy and IP management
- HTTP protocols and browser networking
Tech Preferences
- Python (preferred)
Interview Process
- CTO interview
- Meet the team
Python Scraping Engineer in Oxford employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Scraping Engineer in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your web scraping projects. This could be a GitHub repo or a personal website. It’s a great way to demonstrate your expertise and catch the eye of potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on common scraping challenges, especially around anti-bot measures and debugging. Practising with mock interviews can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a straightforward way to get your application noticed by the right people.
We think you need these skills to ace Python Scraping Engineer in Oxford
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've tackled scraping challenges before, so share specific examples of projects where you've built or maintained web scrapers.
Tackle the Tech Preferences: Don’t forget to mention your hands-on experience with browser automation tools like Playwright or Selenium. We’re keen on seeing how you’ve dealt with anti-bot systems and complex scraping failures, so give us the details!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate a well-structured application that gets straight to the good stuff—your skills and experiences relevant to the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your Scraping Tools
Make sure you’re well-versed in the browser automation tools mentioned in the job description, like Playwright and Selenium. Be ready to discuss your hands-on experience with these tools and how you've tackled complex scraping challenges in the past.
✨Understand Anti-Bot Strategies
Brush up on anti-bot detection and evasion techniques. Be prepared to explain how you've dealt with CAPTCHA solving, proxy management, and browser fingerprinting in your previous projects. This shows you can handle the advanced systems they might throw at you.
✨Showcase Your Problem-Solving Skills
During the interview, share specific examples of when you debugged complex scraping failures. Highlight your thought process and the steps you took to resolve issues, as this demonstrates your analytical skills and resilience.
✨Collaborate and Communicate
Since the role involves working closely with data engineers and AI teams, be ready to discuss how you’ve collaborated in the past. Emphasise your communication skills and how you ensure that the data you scrape is reliable and usable for the team.
