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- Tasks: Manage data storage and improve automation in a cutting-edge AWS environment.
- Company: Join a leading environmental risk consultancy known for innovation and growth.
- Benefits: Competitive pay, diverse team, and opportunities for professional development.
- Other info: Be part of a diverse team that values inclusion and career growth.
- Why this job: Tackle exciting data challenges and make a real impact in the environmental sector.
- Qualifications: Experience in Python, cloud computing, and machine learning is essential.
The predicted salary is between 50000 - 60000 £ per year.
12 Months - the entirety of 2026 into 2027. Deemed Outside IR35 (pending QDOS assessment). 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 in London employer: Bright Purple
Contact Detail:
Bright Purple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Geospatial Engineer in London
✨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 a foot in the door.
✨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 questions related to geospatial data and machine learning. We should practice articulating our experience with tools like TensorFlow and scikit-learn.
✨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 geospatial and cloud computing.
We think you need these skills to ace Geospatial Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, AWS, and geospatial data. We want to see how your skills match 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 this Geospatial Engineer role and how your background makes you a perfect fit. We love seeing genuine enthusiasm!
Showcase Your Technical Skills: Don’t forget to mention your experience with machine learning frameworks and geospatial libraries. We’re looking for someone who can hit the ground running, so highlight any relevant tools or technologies you’ve worked with.
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 this exciting opportunity. Let’s get started on this journey together!
How to prepare for a job interview at Bright Purple
✨Know Your Tech Inside Out
Make sure you brush up on your Python programming skills and get familiar with the specific libraries mentioned in the job description, like Raster and Geo-pandas. Being able to discuss your experience with these tools confidently will show that you're ready to hit the ground running.
✨Showcase Your AWS Experience
Since the role involves managing data storage within an AWS environment, be prepared to talk about your previous experiences with cloud computing. Highlight any projects where you've improved data automation or workflow efficiency using AWS, as this will demonstrate your practical knowledge.
✨Prepare for Technical Questions
Expect some technical questions related to machine learning and data orchestration. Brush up on concepts related to sci-kit learn, tensorflow, and MLOps. Practising how to explain these concepts clearly can help you stand out during the interview.
✨Cultural Fit Matters
Bright Purple values diversity and inclusion, so be ready to discuss how your background and experiences align with their values. Share examples of how you've contributed to a diverse team or fostered an inclusive environment in your previous roles.