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- Tasks: Build geospatial APIs and services using cutting-edge technologies.
- Company: Dynamic technology consulting firm in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a team delivering impactful geospatial solutions in an Agile environment.
- Qualifications: Expertise in geospatial technologies and strong programming skills in Python or Java.
- Other info: Collaborative culture with a focus on high-quality deliverables.
The predicted salary is between 36000 - 60000 £ per year.
A technology consulting firm in the United Kingdom is seeking a candidate with strong expertise in geospatial technologies, including GDAL, GeoPandas, and PostGIS. The ideal applicant will have hands-on experience building geospatial APIs and services, strong programming skills in languages like Python and Java, and familiarity with cloud platforms such as AWS or Azure. This role requires the ability to work within Agile, multidisciplinary teams and is focused on delivering high-quality geospatial solutions.
Geospatial Data Engineer employer: Stealth iT Consulting
Contact Detail:
Stealth iT Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Geospatial Data Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the geospatial field on LinkedIn or attend local meetups. Building connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your geospatial projects, especially those involving GDAL, GeoPandas, and PostGIS. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your programming skills in Python and Java. Be ready to discuss your experience with building geospatial APIs and services, as well as your familiarity with cloud platforms like AWS or Azure.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Geospatial Data Engineers like you. It’s the best way to get noticed by our hiring team.
We think you need these skills to ace Geospatial Data Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in geospatial technologies like GDAL, GeoPandas, and PostGIS. We want to see how your hands-on experience can contribute to building top-notch geospatial APIs and services.
Programming Proficiency is Key: Don’t forget to mention your programming skills in Python and Java! We’re looking for someone who can code like a pro, so share any relevant projects or experiences that showcase your abilities.
Cloud Knowledge Matters: If you’ve got experience with cloud platforms like AWS or Azure, make it known! We value candidates who can navigate these environments, as they’re crucial for delivering high-quality solutions.
Team Player Vibes: Since this role involves working in Agile, multidisciplinary teams, let us know about your collaborative experiences. We love candidates who thrive in team settings and can contribute to a positive work environment!
How to prepare for a job interview at Stealth iT Consulting
✨Know Your Geospatial Tech
Make sure you brush up on your knowledge of GDAL, GeoPandas, and PostGIS. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your API Skills
Prepare to talk about your experience building geospatial APIs and services. Have specific examples ready that highlight your problem-solving skills and the impact your work had on previous projects.
✨Demonstrate Programming Proficiency
Since strong programming skills in Python and Java are essential, be prepared to answer technical questions or even solve coding problems during the interview. Practising common algorithms and data structures can give you an edge.
✨Familiarity with Cloud Platforms
If you have experience with AWS or Azure, make sure to mention it! Discuss any relevant projects where you utilised these platforms, especially in relation to geospatial solutions, as this will show your versatility and readiness for the role.
