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.
- Other info: Collaborate with talented teams and enjoy a dynamic work environment.
- 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.
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
- Hands-on experience with browser automation tools (e.g. Playwright, Selenium, Puppeteer)
- Comfortable debugging complex scraping failures at scale
Tech Preferences
- Python (preferred)
Interview Process
- CTO interview
- Meet the team
Senior Python Scraping Engineer in Oxford employer: Harnham
Join a forward-thinking AI-focused data team that values innovation and collaboration, offering a fully remote work environment. With competitive salaries and a strong emphasis on employee growth, you'll have the opportunity to enhance your skills while tackling complex challenges in web scraping. Our supportive culture fosters creativity and teamwork, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Scraping Engineer in Oxford
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We think you need these skills to ace Senior Python Scraping Engineer in Oxford
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Harnham, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Harnham. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Harnham
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
