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- Tasks: Process and manage large-scale spatial datasets for a major digitization project.
- Company: Join a supportive team of GIS professionals in an innovative environment.
- Benefits: Competitive salary, skill development in GIS automation, and potential for long-term employment.
- Why this job: Kickstart your career by applying your skills to real-world geospatial data challenges.
- Qualifications: Bachelor’s degree in relevant fields and proficiency in ArcGIS or QGIS.
- Other info: Collaborative culture with opportunities for growth and learning.
The predicted salary is between 25000 - 32000 £ 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.
Data Engineer (fixed term) in Reading employer: RMSI
Contact Detail:
RMSI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (fixed term) in Reading
✨Tip Number 1
Network like a pro! Reach out to professionals in the GIS and data engineering fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy to ask for informational interviews. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ArcGIS, QGIS, or Python. This is your chance to demonstrate your technical prowess and problem-solving abilities, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you tackled challenges. Remember, confidence is key, so own your experiences!
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your relevant skills and experiences, and don’t forget to follow up after submitting!
We think you need these skills to ace Data Engineer (fixed term) in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your academic background in GIS, Remote Sensing, or Geomatics. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or coursework!
Show Off Your Technical Skills: If you've worked with ArcGIS, QGIS, or even dabbled in Python, let us know! Include specific examples of how you've used these tools in your studies or projects to demonstrate your hands-on experience.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so get straight to the point about why you’re a great fit for the Data Engineer role and what excites you about working with us.
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’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 ArcGIS, QGIS, and any other tools mentioned in the job description. 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 specific projects where you’ve processed spatial datasets or worked with geospatial data. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your practical experience and problem-solving skills.
✨Understand the Role
Read up on what a Data Engineer does, especially in the context of GIS and remote sensing. Be ready to explain how your academic background aligns with the responsibilities listed, like data validation and quality assurance.
✨Ask Insightful Questions
Prepare some thoughtful questions about the digitization project and the team you'll be working with. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.