Senior GIS & EO Data Engineer (gn)

Remote
about 8 hours ago
Full time role

Company

Nature is our most precious asset. Recognising its value, beyond what can be extracted from it, or built on it, ...

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Job Description

The Landbanking Group’s (TLG) mission is to completely transform the way we use land in these unprecedented times of accelerating climate change, mass extinction and social divide.

A novel, globally active company was founded to turn landowners and land stewards into producers and sellers of ecosystem services and products.

TLG integrates diverse geospatial data sources and makes use of the latest machine learning models for earth observation (EO) data, carbon footprint and biodiversity analysis. Combined with scalable ground-based assessments, e.g. metagenomics, bioacoustics, we develop digital twins of land plots, assess ecosystem quality, verify proof of impact and tokenize the claims so that they can be traded or bundled into tradable assets.


TLG is looking for a GIS and EO engineer (gn) with a methodological focus on EO data management and GIS solutions to join our ambitious team and help to develop and feed a growing number of models that quantify ecosystem health and ecosystem services worldwide.

Your tasks

  • Develop and implement automated GIS workflows (raster and vector handling), working closely with our backend engineering team.
  • Manage retrieval, hosting and access of various EO and other geospatial data within our cloud deployment.
  • Assist members of the scientific team and the backend engineering team in geospatial data handling and problem solving.
  • Package modules into containerized pipelines for deployment.
  • A postgraduate degree or >3y working experience in geospatial engineering, geoinformatics, remote sensing, or similar disciplines
  • Knowledge of current space-borne EO missions and their data characteristics
  • Fluency in using Python for geospatial applications, e.g. geopandas, rasterio, xarray
  • Fluency using standard geospatial tools, e.g. gdal, ogr, PostGIS
  • Experience in EO metadata handling using STAC
  • Knowledge of geospatial data management principles, including database design and data formats
  • Familiarity with Linux environments, version control and cloud deployment, i.e. bash, git, docker, AWS

What's in it for you?

  • Impact
  • A working environment based on trust, encouragement and feedback
  • A positive, inspiring and truly interdisciplinary work atmosphere
  • High degree of autonomy
  • Competitive salary
  • Challenging and novel problems to solve
  • Work remotely (timezone should be close to Germany)
  • Learning and development opportunities within and outside our organization
  • Various employee perks including personal development budget

We are looking forward to receiving your application. Please include a cover letter, a CV and, if available, a link to public reference code (e.g. via a github repository).

TLG welcomes people from all backgrounds and walks of life. We are committed to providing equal opportunities for all employees and applicants without regards to race, color, religion, sex, sex stereotyping, pregnancy, gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law.
If you feel this does perfectly describe you or at least to some relevant extent, we would be delighted to receive your application along with a cover letter.

Nature is our most precious asset. Recognising its value, beyond what can be extracted from it, or built on it, ...

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