Remote Sensing Engineer in Glasgow

Remote Sensing Engineer in Glasgow

Glasgow Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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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 transforming data from space.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Why this job: Make a real impact on global weather tracking and contribute to groundbreaking satellite technology.
  • Qualifications: Advanced degree in relevant fields and experience with microwave instrumentation and programming.
  • Other info: Collaborate with diverse teams and mentor junior staff in a dynamic, fast-paced environment.

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

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 spaceborne 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 modelling, 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 modelling 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.
  • Analyse and visualise 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. 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.

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. Kindly be advised that communication regarding your application may come from @spire.com, @recruiting.spire.com, or from Candidate.fyi (our scheduling tool).

Remote Sensing Engineer in Glasgow employer: Spire Global, Inc.

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 contribute to advanced Earth observation technologies. With a strong emphasis on professional development, mentorship opportunities, and a commitment to diversity, 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 Global, Inc. 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 open doors that applications alone can't.

✨Tip Number 2

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

✨Tip Number 3

Prepare for interviews by brushing up on technical concepts related to calibration and validation. Be ready to discuss your experience with retrieval algorithms and how you've tackled challenges in past projects.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining Spire.

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 Modelling
Algorithm Development for Atmospheric Retrievals
Data Analysis using Python (numpy, pandas)
Linux Environment Proficiency
Cloud Computing (AWS or Databricks)
Technical Writing and Communication
Cross-Sensor Calibration
Machine Learning and Deep Learning Techniques
Multidisciplinary Team Collaboration
Project Management in Fast-Paced Environments
Scientific Publication Experience
Mentoring Junior Staff

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in microwave instrumentation and remote sensing. We want to see how your skills align with the key responsibilities mentioned in the job description.

Show Off Your Coding Skills: Since advanced programming ability in Python is a must, include specific examples of projects or datasets you've worked on. We love seeing how you’ve applied your coding skills to solve real-world problems!

Communicate Clearly: Your application should reflect excellent communication skills. Use clear and concise language in your cover letter and CV, and don’t forget to mention any scientific publications or presentations you’ve done.

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 this exciting role at Spire!

How to prepare for a job interview at Spire Global, Inc.

✨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 modelling 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 scientific libraries like numpy and pandas, and be ready to talk about how you've processed large datasets in the past.

✨Communicate Clearly

Practice explaining complex concepts in simple terms. You’ll need to communicate results effectively, so think about how you can present your findings from previous projects in a clear and engaging way, whether in reports or presentations.

✨Collaborate and Lead

This role involves working with multidisciplinary teams, so be prepared to discuss your experience in collaboration and leadership. Share examples of how you've mentored others or led projects, especially in fast-paced environments.

Remote Sensing Engineer in Glasgow
Spire Global, Inc.
Location: Glasgow

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