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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 of £60,000 – £70,000 with flexible working options.
- Why this job: Make an impact by ensuring data quality and reliability in innovative projects.
- Qualifications: Strong Python scraping experience and knowledge of anti-bot techniques required.
- Other info: Collaborate with talented teams and enjoy a dynamic work 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 Oxford employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Scraping Engineer in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI or data teams. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your web scraping projects. Include examples of tackling anti-bot systems and browser automation. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with Python, browser automation tools, and how you've solved complex scraping challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Senior Python Scraping Engineer in Oxford
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your strong Python-based scraping experience in your application. We want to see how you've tackled large-scale projects and any cool techniques you've used to overcome challenges.
Get Technical: Don’t shy away from diving into the nitty-gritty! Discuss your knowledge of anti-bot detection, browser automation tools, and anything else that showcases your expertise. This is your chance to impress us with your technical know-how!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific experiences that relate to the job description, like working with dynamic sites or improving scraper reliability. We love seeing how you fit into our team!
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 during the process. Let’s get started!
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. Prepare to explain how you've successfully navigated these systems before, as this will show your depth of knowledge and problem-solving skills in real-world scenarios.
✨Showcase Your Collaboration Skills
Since the role involves working closely with data engineers and AI teams, think of examples where you’ve collaborated effectively in the past. Highlight how you ensured the scraped data was reliable and usable, as teamwork is key in this position.
✨Prepare for Technical Questions
Expect technical questions that dive deep into HTTP protocols, proxy management, and debugging complex scraping failures. Practise explaining your thought process clearly, as this will demonstrate your expertise and confidence in handling large-scale production scrapers.
