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- Tasks: Join a team to develop ML pipelines and automate data workflows in AWS.
- Company: Leading environmental risk consultancy with a focus on innovation.
- Benefits: Contract role outside IR35, offering competitive pay and exciting challenges.
- Other info: Opportunity to work in a dynamic environment with a focus on automation.
- Why this job: Tackle cutting-edge data challenges while making a positive environmental impact.
- Qualifications: Strong Python skills and experience in geospatial domains required.
The predicted salary is between 50000 - 70000 £ per year.
A leading environmental risk consultancy is looking for a Contract Geospatial Data professional for the entirety of 2026 into 2027. You will work with a team of data engineers in an AWS environment, focusing on data workflow, automation, and developing ML pipelines.
Ideal candidates will have strong Python skills and experience in geospatial domains, with knowledge of cloud computing preferred. This contract role is deemed outside IR35, offering an exciting opportunity to tackle cutting edge data challenges.
Geospatial Data Engineer: AWS, Python & ML Pipelines in London employer: Bright Purple
Contact Detail:
Bright Purple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Geospatial Data Engineer: AWS, Python & ML Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the geospatial and data engineering fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your Python projects, especially those involving AWS and ML pipelines. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to geospatial data and cloud computing. Practice explaining your past projects and how they relate to the role you're applying for.
✨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 Geospatial Data Engineer: AWS, Python & ML Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Python, and ML pipelines. We want to see how your skills align with the geospatial data challenges we tackle, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit for our team. We love seeing genuine enthusiasm!
Showcase Your Projects: If you've worked on any cool geospatial projects or have experience with data automation, make sure to mention them. We’re keen to see how you’ve applied your skills in real-world scenarios, especially in an AWS environment.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Bright Purple
✨Know Your Tech Stack
Make sure you’re well-versed in AWS, Python, and ML pipelines. Brush up on your knowledge of geospatial data handling and be ready to discuss specific projects where you've applied these skills. This will show that you’re not just familiar with the tools but can also leverage them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex data challenges in the past. Think of examples where you automated workflows or improved data processes. This will demonstrate your ability to think critically and innovate, which is key for this role.
✨Understand the Company’s Mission
Research the consultancy's focus on environmental risk. Be prepared to articulate how your skills can contribute to their goals. Showing that you align with their mission will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project expectations, and the technologies they use. This not only shows your interest in the role but also helps you gauge if the company culture is a good fit for you.