About the role
INSAR Geospatial Data Platform Engineer at Leonardo, in the e-GEOS unit of the Space Division, based in Rome. The team runs a large-scale Earth Observation system that processes satellite radar (InSAR) data at global scale, and this role helps keep that pipeline scalable, efficient and production-grade.
You would sit with the SAR Algorithms team: reviewing architecture proposals for orchestration, parallelization and resource use, optimizing I/O and storage formats for big-data processing, building pipeline and resource monitoring, and strengthening CI/CD, with growing architectural ownership over time. What makes it interesting is the scientific-computing scale: engineering data infrastructure for satellite radar rather than typical business analytics.
Highlights
- Engineering data infrastructure for satellite radar (InSAR) at global scale, not typical business analytics
- Asks for up to five years in software or systems engineering, solid Python (comfort reading C)
- Exposure to workflow orchestration such as Prefect, Airflow or Snakemake, plus HPC or cloud
- Nice-to-haves include Dask, Xarray, Zarr and a cloud platform; based in Rome
This recap is dataskew's editorial summary, not the company's copy.