Data Engineer
Job purpose
to build the data infrastructure supporting our AI/ML pipeline for Synthetic Aperture Radar (SAR) object detection. Working closely with our AI/ML Engineer, you will manage the ingestion, processing, and organization of massive airborne, spaceborne, and simulated radar datasets.
Company description
Meta Sensingis an innovative Italian remote sensing company founded in 2008 with the aim of commercializing the new compact, high resolution radar mapping technology.
In just a few years, Meta Sensinghasacquirednumeroussuccessful airborne radar campaigns completed at the Ka, Ku, X, C, S, L and P frequency bands, and developed drone and space-based radar systems for different applications.
Today Meta Sensingis one of the unique companies in the world which offer cost effective airborne and space-based radar sensors and services both for commercial and security applications.
Combination of innovative technology and advanced processing techniques has made Meta Sensingafast growing, global company with projects in Europe, South East Asia, Middle East, North and South America.
Job Duties: Build automated data pipelines to ingest, parse, and process high-volume SAR datasets from satellite and airborne platforms
Partner with the AI/ML Engineer to transform raw radar imagery into clean,
model-ready formats for deep learning training and validation
Manage spatial databases and large-scale storage systems for efficient data querying and retrieval
Integrate simulated SAR data workflows into the core training data pipeline
Optimize data flow and storage architectures to eliminate training bottlenecks Required skills and qualifications: Strong proficiency in Python and SQL, with a solid grasp of spatial data structures and raster/vector data handling
Experience with cloud storage, containerization, and data pipeline orchestration tools
Experience working with large image datasets, including preparation and quality control
2+ years of hands-on data engineering experience, preferably within geospatial or remote sensing environments Desired Skills / Qualifications: Familiarity with remote sensing, radar systems, or SAR image characteristics
Working knowledge of C++ or MATLAB for model integration, deployment, or radar signal processing
Master's degree in Computer Science, Data Engineering, or a related field Candidate must be eligible to work in Italy.
Employmentcondition
Full-time, 40 hours per week.
Offered salary range
€ 35.000 – 45.000 gross annual
to build the data infrastructure supporting our AI/ML pipeline for Synthetic Aperture Radar (SAR) object detection. Working closely with our AI/ML Engineer, you will manage the ingestion, processing, and organization of massive airborne, spaceborne, and simulated radar datasets.
Company description
Meta Sensingis an innovative Italian remote sensing company founded in 2008 with the aim of commercializing the new compact, high resolution radar mapping technology.
In just a few years, Meta Sensinghasacquirednumeroussuccessful airborne radar campaigns completed at the Ka, Ku, X, C, S, L and P frequency bands, and developed drone and space-based radar systems for different applications.
Today Meta Sensingis one of the unique companies in the world which offer cost effective airborne and space-based radar sensors and services both for commercial and security applications.
Combination of innovative technology and advanced processing techniques has made Meta Sensingafast growing, global company with projects in Europe, South East Asia, Middle East, North and South America.
Job Duties: Build automated data pipelines to ingest, parse, and process high-volume SAR datasets from satellite and airborne platforms
Partner with the AI/ML Engineer to transform raw radar imagery into clean,
model-ready formats for deep learning training and validation
Manage spatial databases and large-scale storage systems for efficient data querying and retrieval
Integrate simulated SAR data workflows into the core training data pipeline
Optimize data flow and storage architectures to eliminate training bottlenecks Required skills and qualifications: Strong proficiency in Python and SQL, with a solid grasp of spatial data structures and raster/vector data handling
Experience with cloud storage, containerization, and data pipeline orchestration tools
Experience working with large image datasets, including preparation and quality control
2+ years of hands-on data engineering experience, preferably within geospatial or remote sensing environments Desired Skills / Qualifications: Familiarity with remote sensing, radar systems, or SAR image characteristics
Working knowledge of C++ or MATLAB for model integration, deployment, or radar signal processing
Master's degree in Computer Science, Data Engineering, or a related field Candidate must be eligible to work in Italy.
Employmentcondition
Full-time, 40 hours per week.
Offered salary range
€ 35.000 – 45.000 gross annual