23 hours ago
Darmstadt, GermanySenior
Responsibilities
- Assess and improve DEDL architecture, data flows, services, and integration mechanisms.
- Support data federation, API standardization, metadata harmonization, and interoperability.
- Develop reproducible AI/ML-ready data pipelines using Earth Observation and climate datasets.
- Contribute to the integration and validation of AI/ML services, platforms, and demonstrators.
- Support MLOps workflows including data orchestration, experiment tracking, model management, and deployment.
- Enable scalable processing across cloud and HPC environments, including distributed computing and GPU resources.
- Advise users and data scientists on Earth Observation data access and AI/ML workflows.
- Prepare technical documentation, code examples, and service reports while collaborating with customer technical teams.
Requirements
- University degree or equivalent in Remote Sensing, Geoscience, Computer Science, Physics, or a related field.
- At least five years of relevant professional experience, including hands-on experience with satellite Earth Observation, EUMETSAT, Copernicus, or meteorological data.
- Strong Python programming skills and experience with Xarray, Dask, and GDAL.
- Knowledge of Earth Observation data formats and standards including NetCDF, GRIB, Zarr, COG, STAC, and OGC.
- Experience with cloud platforms, data lakes, distributed data architectures, data federation, and data engineering for AI/ML applications.
- Familiarity with Airflow, MLflow, Kubeflow, or equivalent MLOps technologies.
- Experience with Docker and Kubernetes and an understanding of HPC, distributed processing, and scalable computing.
- Strong communication, technical documentation, and stakeholder-management skills, with excellent command of English.
- Desirable qualifications include experience with Destination Earth, DEDL services, AI Factories, Data Labs, Digital Twin environments, Slurm-based HPC, GPU orchestration, hybrid cloud infrastructures, DevOps, CI/CD, end-to-end system integration, LLM-based applications, AI agents, MCP implementations, and ESA, EUMETSAT, Copernicus, or European Commission projects.
Benefits
- Full-time employment based at EUMETSAT’s premises in Darmstadt, Germany, with an onsite working arrangement.
- Planned starting date in Q1 2027, subject to successful selection by the customer.
- Training and personal development opportunities.
- Pleasant working environment with challenging responsibilities in an advanced technical environment.
- International and cosmopolitan workplace.
- Employment contract with an attractive package and extra-legal benefits.
- Highly competitive salary.
Tech Stack
Categories
Solutions Engineering