Remote Python Data Scraping Engineer (Part-Time) in Glasgow

Remote Python Data Scraping Engineer (Part-Time) in Glasgow

Glasgow Part-Time 19.8 - 24.2 £ / hour (est.) Working from home possible
Mindrift

At a Glance

  • Tasks: Handle data scraping tasks and ensure data quality for the Tendem project.
  • Company: Join Mindrift, a forward-thinking company focused on innovative data solutions.
  • Benefits: Flexible part-time hours, remote work, and the chance to enhance your skills.
  • Other info: Work independently in a dynamic environment with growth potential.
  • Why this job: Make an impact by delivering structured datasets using cutting-edge tools.
  • Qualifications: 3+ years in data engineering or web scraping and strong Python skills required.

The predicted salary is between 19.8 - 24.2 £ per hour.

Mindrift is seeking a Python Data Scraping Engineer for the Tendem project.

This freelance, part-time remote role handles data scraping tasks with web extraction and processing, using Apify, Open Router, and other tools.

You will own end-to-end workflows, ensure data quality, and deliver structured datasets.

Candidates should have 3+ years in data engineering or web scraping, strong Python skills, and the ability to work independently with English proficiency.

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Remote Python Data Scraping Engineer (Part-Time) in Glasgow employer: Mindrift

Mindrift is an excellent employer for those seeking a flexible and rewarding role in the innovative field of AI mortgage underwriting. With competitive compensation and a focus on part-time project-based work, employees benefit from a supportive work culture that values expertise and encourages professional growth. Located in Edinburgh, Mindrift offers a unique opportunity to contribute to cutting-edge technology while maintaining a healthy work-life balance.

Mindrift

Contact Details:

Mindrift Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Python Data Scraping Engineer (Part-Time) in Glasgow

Get Involved in Data Challenges

Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Mindrift.

Connect with Local Data Communities

Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.

Leverage Your University’s Resources

If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.

Apply Directly Through Our Website

Don’t forget to check out our jobs at Mindrift and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.

We think you need these skills to ace Remote Python Data Scraping Engineer (Part-Time) in Glasgow

Python
Data Scraping
Web Extraction
Data Processing
Apify
OpenRouter
Data Quality Assurance

Some tips for your application 🫡

Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!

Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.

Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Mindrift aligns with your career aspirations. Show us you're excited about learning and growing with us!

Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!

How to prepare for a job interview at Mindrift

Brush Up on Your Stats!

Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Mindrift.

Show Off Your Projects!

It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Mindrift.

Familiarise Yourself with Tools of the Trade

Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Mindrift, so having a comfort level with these tools will definitely be an advantage.

Be Ready to Discuss Real-World Applications

Since this is a part-time role, employers at Mindrift will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.