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- Tasks: Develop scalable systems for web data extraction and integrate AI for smarter workflows.
- Company: A data-led digital business focused on innovative solutions.
- Benefits: Fully remote work, competitive salary, flexible hours, and autonomy in problem-solving.
- Why this job: Own high-impact projects and experiment with cutting-edge AI technology.
- Qualifications: Strong Python or Node.js skills and experience with web data collection frameworks.
- Other info: Dynamic role with opportunities to tackle complex technical challenges.
The predicted salary is between 36000 - 60000 £ per year.
A data-led digital business is hiring a Web Data Engineer to solve complex challenges around large-scale data collection, website access, and automation. This is a hands-on technical role for someone who can architect stable, scalable systems that extract, process, and enrich web data — and now, help integrate AI-assisted workflows to make those systems even smarter.
Location: Fully remote (UK-based)
What you’ll be doing:
- Develop and maintain scalable systems for web data extraction and automation
- Integrate AI models and tooling to assist with tasks like data validation, pattern recognition, and content interpretation
- Design reliable frameworks using Playwright, Puppeteer, or Scrapy, incorporating AI where it adds measurable efficiency
- Implement intelligent proxy rotation, session management, and performance monitoring
- Collaborate with data and engineering teams to feed collected and AI-enriched data into analytics pipelines
- Continuously adapt systems to overcome evolving access and security protocols in a compliant, efficient way
What you’ll need:
- Strong programming skills in Python or Node.js
- Proven experience building scalable web data collection or crawling systems
- Familiarity with Scrapy, Puppeteer, Playwright, Selenium, or similar frameworks
- Experience using rotating proxies, headless browsers, and data pipelines at scale
- Understanding of AI tools and APIs (such as OpenAI, LangChain, or similar) and how they can enhance automation workflows
- Solid grasp of HTTP, browser sessions, and access validation
- Pragmatic approach to data compliance, security, and system resilience
What’s on offer:
- Salary depending on experience
- Fully remote role (UK-based)
- Opportunity to own a technically complex, high-impact system from design to deployment
- Freedom to experiment with AI-driven workflow enhancements
- Flexible working hours and autonomy to define how you solve complex data access challenges
If you’re an engineer who loves working with data at scale, experimenting with AI to streamline automation, and solving technical challenges that most people avoid, this role offers the freedom and impact you’re looking for.
Python Developer employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and web data extraction. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to web data engineering. Practice coding challenges and be ready to discuss how you've tackled complex problems in the past.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s the best way to ensure your application gets the attention it deserves.
We think you need these skills to ace Python Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any relevant frameworks like Scrapy or Puppeteer. We want to see how your skills align with the role, so don’t be shy about showcasing your web data collection projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about web data engineering and how you’ve tackled complex challenges in the past. We love hearing about your problem-solving approach and any AI tools you've integrated into your work.
Showcase Your Projects: If you’ve worked on any cool projects involving data extraction or automation, make sure to mention them! We’re keen to see examples of your work, especially if they demonstrate your ability to build scalable systems and use AI effectively.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Digital Waffle
✨Know Your Tech Stack
Make sure you’re well-versed in Python and any frameworks mentioned, like Scrapy or Puppeteer. Brush up on your knowledge of AI tools and how they can enhance automation workflows, as this will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in web data extraction or automation. Use examples that highlight your ability to design scalable systems and adapt to evolving access protocols, as this is key for the role.
✨Demonstrate Collaboration
Since the role involves working with data and engineering teams, be ready to talk about your experience collaborating on projects. Highlight how you’ve successfully fed collected data into analytics pipelines and worked with others to achieve common goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current data challenges and their approach to integrating AI. This shows your genuine interest in the role and helps you understand how you can contribute effectively.
