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- Tasks: Develop ETL pipelines and manage data workflows in a cutting-edge AWS environment.
- Company: Join a leading environmental risk consultancy known for innovation and growth.
- Benefits: Competitive daily rate, remote work, and potential for contract extension.
- Why this job: Tackle exciting data challenges and make a real impact in the environmental sector.
- Qualifications: Experience with Python, cloud computing, and geospatial data is essential.
- Other info: Diverse and inclusive workplace with opportunities for professional development.
The predicted salary is between 33600 - 50400 £ 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:
- Developing ETL pipelines - Raster, Vector, Tabular data
- Configuring CI/CD pipelines
- 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.
Contract Geospatial Data Engineer in London employer: Bright Purple
Contact Detail:
Bright Purple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract Geospatial Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the geospatial field and let them know you're on the lookout for contract roles. You never know who might have the inside scoop on opportunities that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with RASTER data sets, ETL pipelines, and any cool projects you've done with Python or AWS. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with machine learning frameworks and cloud computing. We want you to feel confident when talking about your expertise!
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Contract Geospatial Data 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 job description, 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 excited about this role and how your background makes you a perfect fit. We love seeing passion and personality!
Showcase Your Projects: If you've worked on any cool projects involving ETL pipelines or machine learning, make sure to mention them. We’re keen to see real-world applications of your skills, especially in geospatial contexts.
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 programming skills and get familiar with the specific geospatial libraries mentioned in the job description, like Raster and Geo-pandas. Being able to discuss your experience with these technologies confidently will show that you're the right fit for the role.
✨Showcase Your Cloud Experience
Since this role involves working within an AWS environment, be prepared to talk about your previous experiences with cloud computing. Highlight any projects where you've developed ETL pipelines or managed data storage in AWS, as this will demonstrate your capability to handle the tasks required.
✨Prepare for Technical Questions
Expect some technical questions related to data workflows, orchestration, and machine learning. Brush up on your knowledge of CI/CD pipelines and be ready to explain how you've improved data automation and efficiency in past roles. This will help you stand out as a candidate who can hit the ground running.
✨Cultural Fit Matters
Bright Purple values diversity and inclusion, so be sure to convey your alignment with these principles during the interview. Share examples of how you've contributed to a positive team environment or supported diverse perspectives in your previous roles. This will show that you not only have the technical skills but also the right mindset for their team.
