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- Tasks: Develop ETL pipelines and manage data workflows in AWS using Python.
- Company: Leading environmental risk consultancy with a focus on innovation.
- Benefits: Competitive daily rate of £420 and potential for contract extension.
- Why this job: Make a real impact in environmental risk while working remotely.
- Qualifications: Strong Python skills, geospatial experience, and knowledge of cloud computing.
- Other info: Fully remote role with opportunities for professional growth.
The predicted salary is between 33600 - 50400 £ per year.
A leading environmental risk consultancy is seeking a Geospatial Data Engineer for a 6-month contract role. This position focuses on developing ETL pipelines and managing data workflows in AWS, requiring strong Python programming and geospatial experience.
Candidates should have expertise in cloud computing and be familiar with Machine Learning processes. The role is fully remote, and candidates can expect a daily rate of £420, with an excellent chance of contract extension.
Remote Geospatial Data Engineer - Python, AWS & ML (Contract) in London employer: Bright Purple
Contact Detail:
Bright Purple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Geospatial Data Engineer - Python, AWS & ML (Contract) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the geospatial and data engineering fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving AWS and Machine Learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to ETL pipelines and geospatial data. Practising with mock interviews can help us feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Remote Geospatial Data Engineer - Python, AWS & ML (Contract) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python programming skills and any geospatial experience you have. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about geospatial data engineering and how your expertise in AWS and Machine Learning makes you a perfect fit for us.
Showcase Your Projects: If you've worked on any cool ETL pipelines or data workflows, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work.
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!
How to prepare for a job interview at Bright Purple
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and AWS knowledge. Be ready to discuss specific projects where you've developed ETL pipelines or managed data workflows. The more detailed examples you can provide, the better!
✨Show Off Your Geospatial Experience
Since this role is all about geospatial data, prepare to talk about your experience in this area. Have a couple of case studies ready that highlight your expertise and how you've applied it in real-world scenarios.
✨Get Familiar with Machine Learning
Even if ML isn't your main focus, understanding its processes will give you an edge. Brush up on how ML integrates with data engineering and be prepared to discuss any relevant experience you have.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's projects, team dynamics, and future goals. This shows your genuine interest and helps you assess if it's the right fit for you.
