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- Tasks: Develop GIS pipelines using Python and work on cloud-based solutions.
- Company: Leading data analytics company based in Edinburgh with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and enhance client solutions with your coding skills.
- Qualifications: Strong Python experience, familiarity with GIS libraries, and knowledge of AWS.
- Other info: Collaborative environment with a focus on delivering high-quality code.
The predicted salary is between 30000 - 50000 £ per year.
A leading data analytics company in Edinburgh is seeking a GIS Developer to join their client solutions team. The job entails developing GIS pipelines using Python, working on cloud-based solutions, and delivering high-quality code in an agile environment.
Ideal candidates should have:
- Strong experience in Python
- Familiarity with GIS libraries
- A solid understanding of AWS and data management tools
The role offers the opportunity to collaborate with various teams to improve solutions and data insights for clients.
GIS Data Engineer: Cloud Pipelines & Python in Edinburgh employer: Verisk
Contact Detail:
Verisk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GIS Data Engineer: Cloud Pipelines & Python in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the GIS and data engineering space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a GitHub repository with some of your Python projects, especially those related to GIS. This gives potential employers a sneak peek into your coding style and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on common GIS and Python questions. Practice explaining your past projects and how you’ve used AWS or other data management tools to solve real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace GIS Data Engineer: Cloud Pipelines & Python in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and GIS libraries. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit for our team. Let us know what drives you in the world of data analytics.
Showcase Your Cloud Knowledge: Since we’re all about cloud-based solutions, make sure to mention any experience you have with AWS or similar platforms. We love seeing candidates who are comfortable navigating cloud environments!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Verisk
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, including any specific libraries you've used for GIS development. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Familiarise Yourself with GIS Libraries
Since the role focuses on GIS pipelines, it’s crucial to have a solid understanding of relevant GIS libraries. Research popular ones like GeoPandas or Shapely, and be prepared to explain how you've used them in past projects. This will show your potential employer that you’re not just familiar with the tools but can effectively apply them.
✨Understand Cloud Solutions and AWS
As the job involves cloud-based solutions, make sure you have a good grasp of AWS services related to data management. Familiarise yourself with tools like S3, Lambda, and EC2, and think of examples where you've implemented these in your work. This knowledge will set you apart from other candidates.
✨Show Your Team Spirit
Collaboration is key in this role, so be ready to discuss how you've worked with different teams in the past. Think of specific examples where your contributions improved project outcomes or client solutions. Highlighting your teamwork skills will demonstrate that you’re a great fit for their client solutions team.
