ppLeonardo is an international industrial group and a global leader in Aerospace, Defence, and Security, delivering multi-domain technological capabilities across the sectors of helicopters, aircraft, aerostructures, electronics, cybersecurity, and space. Within Leonardo’s Space Division, e-GEOS—a company owned by ASI (20%) and Telespazio (80%)—is a leading international player in the Earth Observation and geospatial information sector, offering a unique portfolio of application services. Within the organizational unit Chief Technological Innovation Office at the Rome office we are looking for a resource to cover the position of INSAR Geospatial Data Platform Engineer /ph3About the role /h3pWe're growing our engineering capacity around a large-scale Earth Observation data processing system, handling satellite radar data at global scale. This role is responsible for ensuring the system's architecture is scalable, efficient, and production-grade, working alongside specialized technical partners and our science team, with growing ownership over time. You'll join the SAR Algorithms team in the Algorithms and Prototypes unit, reporting to the team lead, who will also mentor you technically as you take on more architectural responsibility. /ppThere is a clear growth path toward technical leadership of the system. /ph3What you'll do /h3ulliReview and assess technical architecture proposals (workflow orchestration, data handling, parallelization, resource usage) against project requirements, identifying scalability, performance, or cost risks. /liliTranslate requirements between our science team and technical partners and represent engineering standards in technical discussions.

/liliReview code for quality, maintainability, test coverage, and documentation. /liliTrack technical milestones and acceptance criteria, covering both functional correctness and non-functional aspects like performance and scalability. /liliMaintain, extend, and debug components of the processing pipeline independently, with growing architectural ownership over time. /liliOptimize pipeline performance for large-scale, big data processing: I/O efficiency, storage formats, parallel and distributed processing. /liliBuild pipeline- and resource-level monitoring so issues surface early. /liliWork with the science team to integrate data-quality checks into the pipeline. /liliContribute to and strengthen existing CI/CD practices. /liliHelp ensure the system reliably meets internal performance and reliability expectations. /li /ulh3What we're looking for /h3ulliUp to 5 years of experience in software/systems engineering, ideally with exposure to big data, data-intensive, or scientific computing pipelines. /liliSolid hands-on programming skills in Python; comfort reading and working with C. /liliExperience with, or strong conceptual understanding of, workflow orchestration tools (e.g. Snakemake, Prefect, Airflow, or similar).

/liliExperience with HPC and cloud computing environments. /liliGood understanding of I/O and performance bottlenecks in large-scale data processing. /liliStrong fundamentals in software engineering practice: testing, version control, code review, documentation. /liliA track record of taking ownership and learning quickly. /liliComfortable reviewing and constructively challenging technical proposals, communicating clearly with both engineers and domain scientists. /liliGood written/oral English skills (at least B2 level) /li /ulh3Nice to have /h3ulliExperience with geospatial or Earth Observation data. /liliFamiliarity with chunked/array-based scientific computing tools (e.g. Dask, Xarray, Zarr). /liliExposure to cloud platforms (AWS, GCP, or Azure). /liliExperience working with external technical partners or contractors. /li /ulh3What we offer /h3pOur collective bargaining agreement is the CCNL "Industria Metalmeccanica Privata e della Installazione di Impianti" /pulliWorking mode: Hybrid /liliContract category: Clerk /liliContractual type: 12-month fixed term /liliThirteenth month /liliReward related to Business results /liliWelfare vouchers /liliTicket of 8.50 euros /liliOpportunities for training and continuous updating of professional skills and soft skills /liliWell-being: We put the economic, physical, social and psychological well-being of our people first, offering multiple solutions close to their needs. /li /ulpSeniority: Junior /ppPrimary Location: IT - Roma - Via Tiburtina, 965 /ppContract Type: Fixed term /ppTotal Base Pay Range: 35-44K /ppHybrid Working: Hybrid /p /p #J-18808-Ljbffr

INSAR Geospatial Data Platform Engineer

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