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 Hull employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Scraping Engineer in Hull
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI and data teams. A friendly chat can open doors you didn’t even know existed.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best scraping projects. This is your chance to demonstrate your Python prowess and how you tackle complex challenges.
✨Tip Number 3
Prepare for the interview by brushing up on anti-bot techniques and browser automation tools. We want to see that you’re not just a coder but a problem-solver who can think on their feet.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Senior Python Scraping Engineer in Hull
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. Be prepared to share specific examples of how you've successfully navigated these systems in your previous projects. This will show that you not only understand the theory but can apply it in real-world scenarios.
✨Showcase Your Problem-Solving Skills
During the interview, highlight instances where you debugged complex scraping failures. Discuss your thought process and the steps you took to resolve issues, as this demonstrates your analytical skills and ability to work under pressure.
✨Collaborate and Communicate
Since the role involves working closely with data engineers and AI teams, be ready to talk about your collaboration experiences. Share how you’ve effectively communicated technical concepts to non-technical team members, as this is crucial for ensuring the scraped data is trusted and usable.