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- Tasks: Tackle cutting-edge geospatial data challenges and contribute to impactful environmental projects.
- Company: Leading environmental risk consultancy with a focus on innovation.
- Benefits: Competitive daily rate, remote work, and a 12-month contract.
- Why this job: Join a dynamic team and make a difference in environmental risk management.
- Qualifications: Experience in geospatial data engineering and problem-solving skills.
- Other info: Opportunity for professional growth in a thriving industry.
The predicted salary is between 84000 - 126000 £ per year.
All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description.
Remote UK
£420 per day
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.
Geospatial Software Engineer employer: Bright Purple Resourcing
Contact Detail:
Bright Purple Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Geospatial Software Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the geospatial field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your geospatial projects. Whether it's maps, data visualisations, or software you've developed, let your work speak for itself.
✨Tip Number 3
Prepare for interviews by brushing up on common geospatial problems and solutions. Be ready to discuss how you can tackle real-world challenges in 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 Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Geospatial Software Engineer role. Highlight relevant skills and experiences that match the job description, especially those related to geospatial data and software engineering.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific projects or experiences that demonstrate your expertise in geospatial data and how you can contribute to our team.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Whether it's programming languages, software tools, or methodologies you've used, make sure we see how your background aligns with the cutting-edge data problems we tackle.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Bright Purple Resourcing
✨Know Your Geospatial Stuff
Make sure you brush up on your geospatial data skills. Familiarise yourself with the latest tools and technologies in the field, as well as any specific software mentioned in the job description. Being able to discuss your experience with these tools will show that you're not just a good fit, but also genuinely interested in the role.
✨Understand the Company’s Mission
Research Bright Purple and their focus on environmental risk consultancy. Understanding their mission and how your role as a Geospatial Software Engineer fits into their goals will help you answer questions more effectively and demonstrate your enthusiasm for contributing to their success.
✨Prepare for Technical Questions
Expect some technical questions related to geospatial data engineering. Brush up on key concepts, algorithms, and problem-solving techniques relevant to the role. Practising coding challenges or case studies can give you the confidence to tackle these questions head-on during the interview.
✨Showcase Your Problem-Solving Skills
Be ready to discuss past projects where you tackled complex data problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you clearly convey your thought process and how you approach challenges, which is crucial for a role focused on cutting-edge data problems.