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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 Newcastle upon Tyne employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Scraping Engineer in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant online communities, and don’t be shy about asking for advice or referrals. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your web scraping projects. Include examples of how you tackled anti-bot systems or improved data quality. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python knowledge and be ready to discuss your experience with browser automation tools. Practice common technical questions and think about how you’d solve real-world scraping challenges.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Python Scraping Engineer in Newcastle upon Tyne
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 in the past, so share specific examples of projects you've worked on!
Tackle Anti-Bot Strategies: Since we're all about overcoming anti-bot systems, mention any techniques or tools you've used to bypass these hurdles. This will show us that you know your stuff and can handle complex scraping tasks.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see why you're a great fit for the role!
Apply Through Our Website: Don't forget to submit your application through our website! It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
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’re not just familiar with the theory but have practical experience too.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to share specific examples of when you debugged complex scraping failures. Highlight your thought process and the steps you took to resolve issues, as this will demonstrate your analytical skills and resilience.
✨Collaborate and Communicate
Since the role involves working closely with data engineers and AI teams, emphasise your collaboration skills. Share experiences where you successfully worked in a team setting, ensuring that the scraped data was reliable and usable for everyone involved.
