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- Tasks: Design and maintain large-scale web scrapers for AI-driven data.
- Company: Leading data-focused technology firm with a strong emphasis on innovation.
- Benefits: Fully remote role with a competitive salary of £40,000 to £60,000.
- Why this job: Join a dynamic team and enhance AI data quality while working remotely.
- Qualifications: Extensive experience with Python scraping and browser automation tools.
- Other info: Opportunity to work on cutting-edge projects in a supportive environment.
The predicted salary is between 40000 - 60000 £ per year.
A leading data-focused technology firm is seeking a Python Scraping Engineer to enhance their AI-driven data team. This role involves designing and maintaining large-scale web scrapers, addressing advanced anti-bot systems, and improving data quality.
The ideal candidate should have extensive experience with Python scraping, including handling browser automation tools like Playwright and Selenium.
This position is fully remote, offering a competitive salary of £40,000 to £60,000.
Remote Python Scraping Engineer for AI Data in Sheffield employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Python Scraping Engineer for AI Data in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the tech community, especially those who work with AI and data. Join relevant online forums or LinkedIn groups where you can connect with potential employers or colleagues.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python scraping projects. Include examples of how you've tackled anti-bot systems and improved data quality. This will give you an edge when chatting with hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to web scraping and Python. Practice coding challenges that focus on browser automation tools like Playwright and Selenium to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Remote Python Scraping Engineer for AI Data in Sheffield
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python scraping in your application. We want to see your expertise in action, so include specific projects or challenges you've tackled using tools like Playwright and Selenium.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the job description. Mention how your skills align with enhancing our AI-driven data team and improving data quality. We love seeing candidates who take the time to connect their experience with our needs.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Avoid fluff and focus on what makes you a great fit for the role.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all the necessary documents in one go. Plus, it helps us keep track of your application!
How to prepare for a job interview at Harnham
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially focusing on web scraping techniques. Be prepared to discuss your experience with libraries like BeautifulSoup and Scrapy, as well as browser automation tools like Playwright and Selenium. Having specific examples of projects you've worked on will really help you stand out.
✨Understand Anti-Bot Systems
Since the role involves addressing advanced anti-bot systems, do some research on common techniques used to bypass these measures. Be ready to share your strategies for dealing with CAPTCHAs and other challenges. This shows that you’re not just a coder but someone who understands the complexities of web scraping.
✨Showcase Your Problem-Solving Skills
During the interview, be prepared to tackle hypothetical scenarios or coding challenges. Practice explaining your thought process clearly and logically. Employers love candidates who can think on their feet and come up with innovative solutions to problems they might face in the role.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the technologies they use, or how they measure data quality. This not only shows your interest in the role but also helps you determine if the company is the right fit for you.
