We are seeking a Senior Data Engineer, Remote Sensing Scientist with strong technical experience across data acquisition, storage, processing, analytics, and agile delivery.
You will join an Earth Analytics team to accelerate the development of geospatial data products. The role involves rapid prototyping, delivering scalable remote sensing features, and collaborating across science, engineering, and product teams.
Key Responsibilities:
Design and deliver remote sensing product features (e.g., forest carbon, land use).
Act as a scientific contact for commercial and technical teams.
Support evolution of geospatial pipelines and models.
Engage with non-technical stakeholders to explain scientific methods clearly.
Requirements:
PhD or equivalent in Remote Sensing, Geospatial Data Science, Environmental Science, or related field.
Experience with MRV protocols (e.g., IPCC, VCS, GS, CAR) and NBS carbon standards.
Familiar with field data collection, uncertainty quantification, and biomass modelling.
Proficient in Python geospatial stack (e.g., Rasterio, Geopandas, Xarray).
Passion for climate science and innovation.....Read more...
We are seeking a Senior Data Engineer, Remote Sensing Scientist with strong technical experience across data acquisition, storage, processing, analytics, and agile delivery.
You will join an Earth Analytics team to accelerate the development of geospatial data products. The role involves rapid prototyping, delivering scalable remote sensing features, and collaborating across science, engineering, and product teams.
Key Responsibilities:
Design and deliver remote sensing product features (e.g., forest carbon, land use).
Act as a scientific contact for commercial and technical teams.
Support evolution of geospatial pipelines and models.
Engage with non-technical stakeholders to explain scientific methods clearly.
Requirements:
PhD or equivalent in Remote Sensing, Geospatial Data Science, Environmental Science, or related field.
Experience with MRV protocols (e.g., IPCC, VCS, GS, CAR) and NBS carbon standards.
Familiar with field data collection, uncertainty quantification, and biomass modelling.
Proficient in Python geospatial stack (e.g., Rasterio, Geopandas, Xarray).
Passion for climate science and innovation.....Read more...
Assist with data collection, cleaning, and exploratory analysis using statistical software and programming languages
Support development of models, visualisations, and reports to communicate insights effectively
Work closely with multidisciplinary teams to integrate data science outputs into projects
Follow data governance and quality assurance protocols
Engage in continuous learning through your apprenticeship course to build your skills towards a BSc degree or equivalent qualification
Training:
Data scientist (integrated degree) Level 6 (Degree with honours)
Manchester Metropolitan University - One day a week
RPS Manchester Office - Hybrid
Training Outcome:
Data Analyst
Geospatial Data Analyst
Data Engineer
Data Manager
Employer Description:RPS is a leading global multi-disciplinary consultancy. We specialise in all areas of the built and natural environment, shaping the future of our environmental, social and economic landscapes.Working Hours :Monday - Friday, 9.00am - 5.30pm
3-4 days a week in the office in the first year, with a review every 3 monthsSkills: IT skills,Attention to detail,Organisation skills,Problem solving skills,Number skills,Logical,Team working,Initiative,Patience,statistical knowledge,analytical mindset....Read more...
