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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, trusted data for innovative AI projects.
- Qualifications: Strong Python scraping experience and knowledge of anti-bot techniques required.
- Other info: Collaborate with talented teams in a dynamic, supportive environment.
The predicted salary is between 60000 - 70000 £ per year.
Location: Fully remote
Salary: £60,000 – £70,000
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
Senior Python Scraping Engineer in Bristol employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Scraping Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant forums. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your scraping projects. We love seeing real-world applications of your work, so make sure to highlight any challenges you overcame.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and scraping techniques. We recommend practicing common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. We’re always on the lookout for talented individuals who are ready to tackle exciting challenges.
We think you need these skills to ace Senior Python Scraping Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python scraping experience and any relevant projects you've worked on. We want to see how your skills align with what we're looking for, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about web scraping and how you tackle challenges like anti-bot systems. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've got any cool projects or contributions to open-source scraping tools, make sure to mention them. We’re keen to see your hands-on experience and how you’ve solved real-world problems in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
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 and proxy management in your previous projects. This will show that you not only understand the theory but have practical experience too.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to share specific examples of how you've 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, emphasise your collaboration skills. Share experiences where you’ve successfully worked in a team setting, ensuring that everyone was aligned and the data was reliable and usable.
