At a Glance
- 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 team 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 36000 - 60000 £ 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 employer: Bright Purple
Bright Purple is an excellent employer that fosters a collaborative and innovative work culture in High Wycombe, where employees are encouraged to grow their skills in cutting-edge Microsoft technologies. With a focus on professional development and a commitment to work-life balance, we offer unique opportunities for career advancement while shaping the future of workplace technology. Join us to be part of a dynamic team that values your contributions and supports your journey in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Geospatial Data Engineer: AWS, Python & ML Pipelines
✨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 projects involving AWS, Python, 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 make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Geospatial Data Engineer: AWS, Python & ML Pipelines
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 and a clear connection to the job.
Showcase Your Projects:If you've worked on any cool geospatial projects or have experience with data workflows, make sure to mention them! We appreciate candidates who can demonstrate their hands-on experience and problem-solving skills in real-world scenarios.
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. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Bright Purple
✨Know Your Tech Inside Out
Make sure you brush up on your AWS, Python, and ML pipeline skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Geospatial Knowledge
Prepare to talk about your experience in the geospatial domain. Think of examples where you've applied geospatial data analysis or visualisation, and be ready to explain the impact of your work.
✨Understand the Company’s Mission
Research the consultancy's focus on environmental risk. Familiarise yourself with their recent projects or initiatives, and think about how your skills can contribute to their goals. This shows genuine interest and alignment with their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project expectations, and the tools they use. This not only demonstrates your enthusiasm but also helps you gauge if the role is the right fit for you.
