Remote Sensing Engineer in Glasgow
Remote Sensing Engineer

Remote Sensing Engineer in Glasgow

Glasgow Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead advanced Earth-observing microwave remote sensing missions and develop innovative calibration techniques.
  • Company: Join Spire Global, a pioneering space-to-cloud analytics company.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Why this job: Make a real impact on global weather tracking and atmospheric science.
  • Qualifications: Advanced degree in relevant fields and experience with microwave instrumentation.
  • Other info: Collaborative environment with diverse teams and exciting projects.

The predicted salary is between 36000 - 60000 £ per year.

Join to apply for the Remote Sensing Engineer role at Spire. The Remote Sensing Engineer will play a central role in advanced Earth‑observing microwave remote sensing missions developed at Spire Global, providing technical leadership for the calibration, validation, and scientific exploitation of space‑borne microwave radiometers. This position spans responsibility for payload performance, RF engineering, ground processing of instrument data to deliver to our global Numerical Weather Prediction (NWP) customers and in‑orbit calibration, and scientific support for atmospheric retrieval algorithms. This is a pivotal role that is key to Spire building the world’s first hyperspectral microwave and multi‑sensor commercial constellation to measure temperature, water vapour and precipitation at spatial and temporal scales beyond the current state of the art.

Key Responsibilities

  • Lead and oversee in‑orbit calibration and validation of our microwave sounding instruments, including design and implementation of in orbit calibration, radiative transfer modeling, end‑to‑end testing, and on‑orbit performance assessment.
  • Maintain scientific code base for ground processing of microwave sensor observation data for operational delivery to end users.
  • Lead algorithmic development for atmospheric temperature, humidity and precipitation retrievals from brightness temperature measurements, including radiative transfer modeling and uncertainty estimation.
  • Support trade studies and requirement definition for future missions and collaborate with multi‑disciplinary engineering team and end users to define and deliver next generation sensing capabilities.
  • Develop, improve, and maintain calibration methodologies, including cross‑calibration with reference targets (cold space, onboard blackbody), and support radiometer precision traceability.
  • Analyze and visualize large‑scale Earth observation datasets, applying physical principles and advanced coding (Python libraries including numpy, pandas, etc) to extract scientific and engineering insights from complex multi‑channel microwave data.
  • Document and communicate results via technical reports, scientific publications, and presentations at international conferences and internal forums.
  • Collaborate with multidisciplinary teams, including RF engineers, scientists, and software developers, to deliver mission objectives under demanding operational timelines.
  • Mentor junior staff and contribute to continuous improvement of instrumentation and measurement techniques.

Required Qualifications

  • Advanced degree (PhD or MSc) in physics, engineering, remote sensing, atmospheric science, or a related discipline, with demonstrable experience in microwave instrumentation or other remote sensing instrumentation.
  • In‑depth understanding of calibration and validation of remote sensing payloads, microwave radiometry, instrument pointing, calibration techniques, and error budgets relevant to atmospheric sounding missions.
  • Proven experience in developing and validating retrieval algorithms for satellite microwave sensors, with emphasis on radiative transfer and inverse methods.
  • Advanced programming ability in scientific languages (primarily using Python) and demonstrated capability to process and analyze large scientific datasets.
  • Proficient with Linux‑based environments and cloud environments (AWS or Databricks).
  • Excellent communication skills in technical writing and presentations; evidence of scientific publication or stakeholder engagement.
  • Experience with cross‑sensor and inter‑satellite calibration campaigns in operational or research settings; knowledge of international standards and protocols.
  • Proficient in applying machine learning and deep‑learning techniques applied to atmospheric sensing.
  • Familiarity with satellite mission lifecycle, payload commissioning, and operational support for spaceborne remote sensing systems.
  • Ability to work with multidisciplinary teams and manage multiple simultaneous projects in a fast‑paced environment.
  • Experience with scientific processor deployment in operational cloud environments.

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office. Access to US export‑controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying.

About Spire

We improve life on Earth with data from space. Spire Global is a space‑to‑cloud analytics company that owns and operates the largest multi‑purpose constellation of satellites. Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather tracking in the world. In addition to its constellation, Spire’s data infrastructure includes a global ground station network and 24⁄7 operations that provide real‑time global coverage of every point on Earth.

Equal Opportunity Statement

Spire is global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status.

Background Check

To help maintain a safe and secure workplace for Spire employees, all candidates who receive a conditional offer will be required to complete a background check. This may include criminal history and employment verification.

Privacy Notice

Please take a moment to review Spire's Global Data Privacy Notice for Employees, Contractors, Candidates and Visitors, as well as Spire's Privacy Policy.

Remote Sensing Engineer in Glasgow employer: Spire

At Spire Global, we are dedicated to fostering a collaborative and innovative work environment where Remote Sensing Engineers can thrive. Our hybrid work model promotes flexibility while ensuring that employees engage in meaningful projects that push the boundaries of Earth observation technology. With ample opportunities for professional growth, mentorship, and access to cutting-edge resources, Spire is an exceptional employer for those looking to make a significant impact in the field of remote sensing.
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Contact Detail:

Spire Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Remote Sensing Engineer in Glasgow

✨Tip Number 1

Network like a pro! Reach out to professionals in the remote sensing field on LinkedIn or at conferences. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and microwave instrumentation. This will give potential employers a taste of what you can do.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts simply, as communication is key in multidisciplinary teams.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Remote Sensing Engineer in Glasgow

Microwave Remote Sensing
Calibration and Validation of Remote Sensing Payloads
Radiative Transfer Modeling
Algorithm Development for Atmospheric Retrievals
Data Analysis using Python (numpy, pandas)
Technical Writing
Presentation Skills
Linux-based Environments
Cloud Environments (AWS, Databricks)
Machine Learning Techniques
Deep Learning Techniques
Multidisciplinary Team Collaboration
Project Management
Scientific Publication

Some tips for your application 🫔

Tailor Your CV: Make sure your CV is tailored to the Remote Sensing Engineer role. Highlight your relevant experience in microwave instrumentation and remote sensing, and don’t forget to showcase your programming skills, especially in Python!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about Earth observation and how your background aligns with Spire's mission. Keep it concise but impactful!

Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's algorithm development or data analysis, sharing specific examples can really set you apart from other candidates.

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 Spire

✨Know Your Stuff

Make sure you brush up on your knowledge of microwave remote sensing and calibration techniques. Be ready to discuss your experience with radiative transfer modeling and retrieval algorithms, as these are key aspects of the role.

✨Show Off Your Coding Skills

Since programming in Python is crucial for this position, prepare to demonstrate your coding abilities. Bring examples of your work with libraries like numpy and pandas, and be ready to explain how you've used them to analyse large datasets.

✨Communicate Clearly

Practice explaining complex technical concepts in simple terms. You’ll need to communicate effectively with multidisciplinary teams, so being able to present your ideas clearly will set you apart from other candidates.

✨Prepare for Teamwork Questions

Expect questions about your experience working in teams. Think of examples where you collaborated with RF engineers or scientists, and be ready to discuss how you contributed to successful project outcomes.

Remote Sensing Engineer in Glasgow
Spire
Location: Glasgow

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