GIS Data Engineer

GIS Data Engineer

Reading Full-Time 28800 - 48000 £ / year (est.) No home office possible
RMSI

At a Glance

  • Tasks: Process and manage geospatial data, ensuring accuracy and quality.
  • Company: Join a supportive team of GIS professionals in a collaborative environment.
  • Benefits: Competitive salary, skill development in GIS automation, and potential for permanent employment.
  • Why this job: Kickstart your career in GIS with real-world projects and cutting-edge technology.
  • Qualifications: Degree in Geography, GIS, or related field; proficiency in ArcGIS or QGIS.
  • Other info: Great opportunity for recent graduates to grow in a dynamic field.

The predicted salary is between 28800 - 48000 £ per year.

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.

Skills & Qualifications

  • Bachelor’s degree in Geography, Geomatics, GIS, Remote Sensing, or Computer Science.
  • Proficiency in ArcGIS or QGIS for spatial data handling.
  • Familiarity with spatial databases (PostGIS, GeoPackage, etc.) and data formats (Shapefile, GeoJSON, etc.).
  • Basic knowledge of FME or Python scripting for automation (preferred but not mandatory).
  • Strong attention to detail and problem-solving mindset.
  • Ability to work independently and as part of a collaborative project team.

What We Offer

  • Competitive salary for Graduate.
  • Opportunity to develop technical skills in GIS automation and data engineering and AI.
  • Supportive and collaborative working environment with senior GIS professionals.
  • Potential for long-term or permanent employment based on performance.

GIS Data Engineer employer: RMSI

Join a dynamic team as a GIS Data Engineer in Reading, where you will have the opportunity to work on a major digitization project that enhances your technical skills in GIS and data engineering. Our supportive and collaborative work culture fosters professional growth, allowing you to learn from experienced GIS professionals while contributing to meaningful projects. With competitive salaries for graduates and potential for long-term employment, this role is perfect for those looking to make a significant impact in the geospatial field.
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 love seeing what you can do, and it gives you a leg up during interviews.

✨Tip Number 3

Prepare for those interviews! Research common GIS interview questions and practice your answers. We want you to feel confident and ready to impress with your knowledge of tools like ArcGIS and QGIS.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re always on the lookout for fresh talent, so don’t hesitate to put yourself out there!

We think you need these skills to ace GIS Data Engineer

GIS
Remote Sensing
Geomatics
Data Processing
ArcGIS
QGIS
FME
Python
Data Validation
Quality Assurance
Topological Checks
Spatial Databases
PostGIS
GeoPackage
Shapefile
GeoJSON
Attention to Detail
Problem-Solving Skills
Collaboration

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 you can apply your knowledge to real-world problems, so don’t hold back!

Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to the job description. We love seeing how your background aligns with what we’re looking for!

Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language and avoid jargon unless it’s relevant. We appreciate clarity and want to understand your experience without any confusion.

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. Plus, it’s super easy!

How to prepare for a job interview at RMSI

✨Know Your Tools

Make sure you’re familiar with the tools mentioned in the job description, like ArcGIS and QGIS. Brush up on your skills and be ready to discuss how you've used these tools in your studies or projects.

✨Showcase Your Projects

Prepare to talk about any relevant projects or coursework that involved GIS, Remote Sensing, or Geomatics. Highlight specific challenges you faced and how you overcame them, especially in data processing or mapping.

✨Understand the Data

Get a good grasp of spatial datasets and their importance. Be ready to discuss data validation and quality assurance processes, as well as any experience you have with spatial databases like PostGIS.

✨Ask Insightful Questions

Prepare some thoughtful questions about the digitization project and the team you'll be working with. This shows your interest and helps you understand how you can contribute effectively.

GIS Data Engineer
RMSI
Location: Reading

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