Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Manage data storage and improve automation in an AWS environment.
- Company: Join a leading environmental risk consultancy with a focus on innovation.
- Benefits: Competitive pay, flexible work options, and opportunities for professional growth.
- Why this job: Tackle cutting-edge data challenges and make a real impact in the industry.
- Qualifications: Experience in Python programming and cloud computing, especially AWS.
- Other info: Diverse and inclusive workplace with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
This Contract Geospatial Data role is a fantastic opportunity to work on cutting edge data problems at a leading environmental risk consultancy. The position has arisen due to the success and growth of Bright Purple's impressive established client. They are a leading player in their field with a powerful and highly regarded platform built using the latest technologies.
You will be working in a team of software and data engineers supporting data workflow & orchestration, within an AWS environment and must have experience of RASTER data sets.
In this role, you will be:
- Managing data storage within an AWS environment
- Improving data automation, workflow and efficiency
- Developing Python based ML pipelines
Key skills for this role include:
- Good knowledge of Python programming
- Experience in cloud computing (ideally AWS)
- Strong experience across industries in both Geospatial and non-Geospatial domains
- Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps)
Preferred Experience:
- Experience with frameworks like Metaflow, Prefect, etc.
- Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases
Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.
Geospatial Engineer employer: Bright Purple
Contact Detail:
Bright Purple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Geospatial Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the geospatial field on LinkedIn or at industry events. We can leverage our connections to get insights and maybe even referrals for that Geospatial Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AWS. We can use this to demonstrate our expertise in managing data workflows and automation.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to geospatial data and machine learning. We should practice explaining our experience with tools like TensorFlow and scikit-learn to impress potential employers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We can tailor our applications to highlight our relevant experience in cloud computing and geospatial libraries.
We think you need these skills to ace Geospatial Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Geospatial Engineer role. Highlight your experience with Python, AWS, and any relevant geospatial projects. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about geospatial data and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool projects involving RASTER data sets or machine learning, make sure to mention them. We’re keen to see real-world applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy!
How to prepare for a job interview at Bright Purple
✨Know Your Tech
Make sure you brush up on your Python programming skills and get familiar with AWS. Be ready to discuss how you've used these technologies in past projects, especially when it comes to managing data storage and improving automation.
✨Showcase Your Experience
Prepare examples from your previous roles that highlight your experience with RASTER data sets and machine learning frameworks like sci-kit learn or TensorFlow. This will demonstrate your hands-on knowledge and make you stand out.
✨Understand the Company
Research Bright Purple and their work in environmental risk consultancy. Knowing their values and recent projects can help you tailor your answers and show that you're genuinely interested in being part of their team.
✨Ask Smart Questions
Prepare thoughtful questions about the team dynamics, the technologies they use, and their approach to data workflow and orchestration. This shows your enthusiasm for the role and helps you gauge if it's the right fit for you.