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- Tasks: Design and maintain large-scale web scrapers for AI data projects.
- Company: Leading recruitment agency with a focus on innovative AI solutions.
- Benefits: Competitive salary, fully remote work, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and tackle advanced challenges in data scraping.
- Qualifications: Strong experience in Python scraping and knowledge of anti-bot techniques.
- Other info: Work remotely and be part of an innovative AI-focused data team.
The predicted salary is between 60000 - 70000 £ per year.
A leading recruitment agency is seeking a Senior Python Scraping Engineer to join an innovative AI-focused data team, fully remote. In this role, you will design and maintain large-scale web scrapers, tackle advanced anti-bot systems, and ensure data quality.
You should have strong experience in Python scraping, browser automation tools, and knowledge of anti-bot techniques.
This position offers a salary range of £60,000 to £70,000, reflecting the expertise required for these advanced tasks.
Remote Senior Python Scraping Engineer for AI Data in City of London employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Senior Python Scraping Engineer for AI Data in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data scraping community. Join relevant forums, LinkedIn groups, or even local meetups. You never know who might have the inside scoop on job openings!
✨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 ensured data quality. This will make you stand out when we’re looking for someone with your expertise.
✨Tip Number 3
Prepare for technical interviews! Brush up on your Python skills and be ready to discuss your experience with browser automation tools. We want to see how you think through problems, so practice coding challenges related to web scraping.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our innovative team focused on AI data.
We think you need these skills to ace Remote Senior Python Scraping Engineer for AI Data in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python scraping and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and data scraping. We love seeing candidates who are genuinely excited about what we do at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, mention specific challenges you've faced with anti-bot systems and how you overcame them. We’re looking for innovative thinkers who can tackle complex problems head-on!
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 - Data & Analytics Recruitment
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with web scraping libraries like Beautiful Soup and Scrapy, as well as any browser automation tools you've used. They’ll likely want to see how you tackle real-world problems using Python.
✨Understand Anti-Bot Techniques
Since this role involves dealing with advanced anti-bot systems, it’s crucial to familiarise yourself with common techniques and how to bypass them. Prepare examples of challenges you've faced in the past and how you overcame them. This will show your problem-solving skills and technical expertise.
✨Showcase Your Data Quality Assurance Skills
Data quality is key in this role, so be prepared to discuss how you ensure the accuracy and reliability of the data you scrape. Think about specific methods or tools you’ve used for data validation and cleaning, and be ready to share your experiences.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with questions that show your interest in the company and the role. Ask about their current projects, the tech stack they use, or how they handle scaling their scrapers. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
