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For Companies At a Glance
- Tasks: Process and manage large-scale spatial datasets for a major digitization project.
- Company: Join a forward-thinking team focused on geospatial data innovation.
- Benefits: Gain hands-on experience with industry-standard tools and technologies.
- Why this job: Perfect opportunity for recent grads to apply GIS skills in real-world projects.
- Qualifications: Strong academic background in GIS, Remote Sensing, or Geomatics required.
- Other info: Collaborative environment with opportunities for professional growth and development.
The predicted salary is between 28800 - 48000 £ per year.
About the Role
We are seeking a motivated Data Engineer to join our team supporting a major digitization project. This role is ideal for a recent graduate with a strong academic background in GIS, Remote Sensing, Geomatics, or a related discipline who is eager to apply technical skills in real-world geospatial data processing and digital mapping.
Key Responsibilities
- Process and manage large-scale spatial datasets from local authorities and government sources.
- Work with tools such as ArcGIS, QGIS, FME, and Python to support data transformation and automation workflows.
- Perform data validation, quality assurance, and topological checks to ensure accuracy and consistency.
- Contribute to digitization workflows, aligning with data specifications and project standards.
- Collaborate with the data and QA teams to resolve mapping or attribute discrepancies.
- Prepare maps, reports, and spatial deliverables as required by project managers.
GIS Data Engineer employer: RMSI
Contact Detail:
RMSI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GIS Data Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the GIS field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your GIS projects, whether they’re from uni or personal work. We recommend having a few examples ready to discuss during interviews to demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Prepare for technical interviews by brushing up on your knowledge of tools like ArcGIS and Python. We suggest doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. By applying directly, you’ll ensure your application gets the attention it deserves, and who knows, you might just land that GIS Data Engineer role!
We think you need these skills to ace GIS Data Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical skills in GIS, Remote Sensing, and any tools like ArcGIS or QGIS. We want to see how your academic background translates into real-world applications, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the key responsibilities mentioned in the job description. We love it when applicants align their experiences with what we’re looking for, so make it personal!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’re a great fit!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at RMSI
✨Know Your Tools Inside Out
Make sure you’re familiar with the tools mentioned in the job description, like ArcGIS, QGIS, and Python. Brush up on your skills and be ready to discuss how you've used these tools in your projects or studies. Maybe even prepare a mini-project to showcase your abilities!
✨Showcase Your Academic Background
Since this role is ideal for recent graduates, don’t shy away from discussing your academic achievements. Highlight relevant coursework, projects, or internships that relate to GIS, Remote Sensing, or Geomatics. This will show your passion and readiness to dive into the role.
✨Prepare for Technical Questions
Expect some technical questions related to data processing and validation. Brush up on concepts like data transformation, quality assurance, and topological checks. Being able to explain these processes clearly will demonstrate your understanding and confidence in the field.
✨Be Ready to Collaborate
Collaboration is key in this role, so be prepared to discuss how you’ve worked in teams before. Share examples of how you resolved discrepancies or contributed to group projects. This will show that you can work well with others and are ready to contribute to the team dynamic.