O pozici
Serco is a trusted leader in Space Services, with a proud history spanning over 55 years and a track record of supporting more than 50 space missions for world-renowned agencies like ESA and NASA. Our expertise covers the entire space lifecycle—from satellite testing and launch services to spacecraft operations, space surveillance, and data management—making us a key partner in advancing national strategies and driving innovation in the New Space era. High above Earth, Europe’s space systems work silently in the background, supporting navigation, safety, and security across the continent.
On behalf of our team in Serco Czech Republic, we are looking for an Earth Observation Engineer to support Serco’s role in prestigious EU-funded actions managed by the granting authority under the powers delegated by the European Commission. The action focuses on the AI/ML digital transition of Copernicus services through AI Agent that integrates data, models, workflows, QA/QC, and interoperability with European infrastructures. The candidate will be responsible for implementing Serco’s technical contribution to the project. This includes building and supporting QA/QC workflows, data validation pipelines, metadata integration, API/catalogue connections, and technical interoperability components.
This role is suitable for a data engineer, geospatial software engineer, EO platform engineer, or technical integration engineer who enjoys hands-on implementation and working across data, services, metadata, and quality-control workflows. You will work both autonomously and as part of a team, in an international multicultural environment. We look for candidates with a solution-oriented mindset, and good communication capabilities.
Co budeš dělat
- Design, implement, and maintain QA/QC pipelines for data workflows, model outputs, and project-generated products.
- Implement automated checks for data format, completeness, consistency, plausibility, metadata quality, uncertainty indicators, and workflow traceability.
- Develop scripts, services, APIs, or connectors to support metadata exchange, data catalogue exposure, and machine-readable service access.
- Support technical integration with project partners across foundation models, hybrid forecasting pipelines, agentic reasoning components, and visualisation workflows.
- Support testing, validation, benchmarking, and debugging of integrated workflows.
- Prepare technical documentation, implementation notes, test reports, and deliverable inputs.
- Participate in technical meetings with consortium partners and provide practical feedback on feasibility, implementation risks, and integration issues.
Koho hledáme
- Hands-on experience in software engineering, data engineering, EO data processing, geospatial platforms, or environmental data workflows.
- Strong Python skills.
- Experience working with APIs, data pipelines, metadata, catalogues, or platform integration.
- Experience with geospatial data formats and tools, such as GeoTIFF, NetCDF, Zarr, HDF5, STAC, GDAL, raster/vector data, or similar.
- Understanding of data quality checks, validation workflows, automated testing, or QA/QC pipelines.
- Ability to work with technical specifications and convert them into working software components.
- Good documentation skills.
- Fluent English, written and spoken.
Benefity
- hybrid working style
- full health and life insurance
- multisport card
- clear career path and continuous training opportunities
