Geospatial Data Engineer: Production Pipelines & Analytics

Searchability®

United Kingdom

On-site

GBP 65,000 - 100,000

Full time

7 days ago
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Job summary

Searchability is recruiting on behalf of an innovative technology business operating within the data intelligence and environmental analytics space. You will work alongside data scientists, engineering and analysts, ensuring critical datasets are reliable, scalable and readily available for analysis and customer-facing products.

This role focuses on building robust production pipelines for remote sensing and weather datasets, with strong emphasis on Python geospatial tooling and cloud

Qualifications

  • Degree in Computer Science, Mathematics, Physics or related field.
  • Strong Python programming and geospatial data experience.
  • Experience building robust production data pipelines and using cloud services.

Responsibilities

  • Build and maintain production pipelines for remote sensing, weather and environmental datasets.
  • Analyze satellite, weather and geospatial data to identify valuable new data sources.
  • Ensure reliable and timely delivery of large-scale geospatial datasets.
  • Promote engineering best practices and provide technical guidance across the business.
  • Work closely with multidisciplinary data and analytical teams.

Skills

Communication skills
Team collaboration

Education

University degree in Computer Science/Mathematics/Physics or related technical discipline

Tools

Python
Pandas
Xarray
Rasterio
GeoPandas
Airflow
Dagster
AWS
QGIS

Job description

Searchability is recruiting on behalf of an innovative technology business operating within the data intelligence and environmental analytics space. You will work alongside data scientists, engineering and analysts, ensuring critical datasets are reliable, scalable and readily available for analysis and customer-facing products.

This role focuses on building robust production pipelines for remote sensing and weather datasets, with strong emphasis on Python geospatial tooling and cloud

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