At a Glance
- Tasks: Drive data scraping workflows using Python and collaborate with AI agents for accurate results.
- Company: Mindrift connects specialists with innovative AI projects from major tech companies.
- Benefits: Earn up to $37/hour, work remotely, and enjoy flexible hours.
- Other info: Join a dynamic team and unlock the potential of Generative AI.
- Why this job: Gain unique experience in a hybrid AI environment while enhancing your technical skills.
- Qualifications: 5+ years in data engineering or web scraping; strong Python skills required.
The predicted salary is between 30 - 37 € per hour.
Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part‑time remote opportunity is ideal for technical professionals with hands‑on experience in web scraping, data extraction and processing.
What We Do
The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real‑world expertise from across the globe.
About The Role
This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you’ll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.
Key Responsibilities
- Own end‑to‑end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
- Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
- Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript‑rendered content and changing site behavior.
- Enforce data quality standards through validation checks, cross‑source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
- Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.
Compensation
On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
Requirements
- At least 5 years of relevant experience in data engineering, web scraping, automation, or software development (required)
- Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
- Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
- Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
- Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
- Demonstrated experience handling anti‑bot mechanisms and dynamic site structures at scale
- Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
- Hands‑on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
- Strong attention to detail and commitment to data accuracy
- Self‑directed work ethic with ability to troubleshoot independently
- A link to GitHub is a plus
- English proficiency: Upper‑intermediate (B2) or above (required)
Benefits
Why this freelance opportunity might be a great fit for you?
- Work fully remote on your own schedule with just a laptop and stable internet connection.
- Gain hands‑on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly – a distinctive skill set in a rapidly growing field.
- Participate in performance‑based bonus programs that reward high‑quality work and consistent delivery.
Senior Python Data Scraping Engineer (Freelance) in London employer: Mindrift
Mindrift is an exceptional employer for Senior Python Data Scraping Engineers, offering a fully remote freelance opportunity that allows you to work on your own schedule while contributing to innovative AI projects. With a focus on collaboration between human expertise and AI, you'll gain unique experience in a rapidly evolving field, alongside performance-based bonuses that reward your high-quality contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Data Scraping Engineer (Freelance) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who are already working with AI or data scraping. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best web scraping projects. Include links to your GitHub and any live demos. This will give potential clients a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Stay updated on industry trends! Follow blogs, join forums, and participate in webinars related to Python and data scraping. This not only boosts your knowledge but also helps you connect with like-minded professionals.
✨Tip Number 4
Apply through our website! We’ve got a streamlined process that makes it easy for you to showcase your expertise. Plus, it’s a great way to get noticed by the right people at Mindrift.
We think you need these skills to ace Senior Python Data Scraping Engineer (Freelance) in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Python Data Scraping Engineer role. Highlight your experience with web scraping, data extraction, and any relevant tools like BeautifulSoup or Selenium. We want to see how your skills align with what we’re looking for!
Showcase Your Projects:If you’ve got a GitHub profile, flaunt it! Include links to your projects that demonstrate your expertise in data scraping and automation. This gives us a chance to see your work in action and understand your coding style.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point about your qualifications and experiences.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Mindrift
✨Know Your Tools Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like Apify and OpenRouter. Familiarise yourself with their functionalities and how they can be applied to data scraping tasks. This will show your potential employer that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex web scraping challenges in the past. Discuss specific instances where you dealt with dynamic content or anti-bot mechanisms. This will demonstrate your critical thinking and domain expertise, which are key for the role.
✨Highlight Your Attention to Detail
Since data accuracy is crucial, be ready to discuss your methods for ensuring data quality. Talk about validation checks and how you maintain consistency across datasets. This will reassure them that you take data integrity seriously.
✨Be Ready to Discuss Your Experience
With at least 5 years of relevant experience required, prepare to dive deep into your background. Be specific about your hands-on experience with Python, web scraping libraries, and any cloud infrastructure you've worked with. This will help you stand out as a strong candidate.
