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- Tasks: Develop scalable systems for web data extraction and automation using AI.
- Company: A data-led digital business focused on innovative solutions.
- Benefits: Fully remote work, competitive salary, flexible hours, and autonomy.
- Why this job: Own high-impact projects and experiment with cutting-edge AI technologies.
- Qualifications: Strong Python or Node.js skills and experience with web data systems.
- Other info: Join a dynamic team tackling complex data challenges.
The predicted salary is between 28800 - 48000 £ 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.
Role: Web Data Engineer
Salary: Dependant on Experience
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 in Southampton employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer in Southampton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant online communities, and attend meetups. 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, web data extraction, or AI integration. 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 your technical skills and understanding the latest trends in web data engineering. Practice common interview questions and be ready to discuss how you've tackled complex challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help us solve data challenges. Keep an eye on our listings and get your application in – we’d love to see what you’ve got!
We think you need these skills to ace Python Developer in Southampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Web Data Engineer. Highlight your experience with Python, web data extraction, and any AI tools you've used. We want to see how your skills match up with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Projects: If you've worked on relevant projects, whether in a professional setting or as personal endeavours, include them in your application. We love seeing practical examples of your skills in action, especially those involving scalable systems and AI integration.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining the StudySmarter family!
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.
✨Familiarise Yourself with AI Integration
Since the role involves integrating AI models, be ready to talk about your experience with AI tools and APIs. Think of ways you’ve used AI to improve data validation or pattern recognition in past projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current data systems and their approach to AI integration. This shows your genuine interest in the role and helps you understand how you can contribute effectively.