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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Forschungszentrum Jülich GmbH - **Location:** Julich, Germany - **Salary:** €156,000.0 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Cloud Computing, Computer Programming, Continuous Integration, Information Engineering, Linux, Open Source Technology, Quantum Computing, Scientific Computating, Software Engineering, Management of Software Versions, Data Logging, Delivery Pipeline, Deep Learning, Containerization, AI Platforms, Information Technology, Machine Learning Operations, Software Version Control, Automation Anywhere - **Published:** September 19, 2026 - **Apply:** https://www.arbeitsagentur.de/jobsuche/jobdetail/19380-asrcn3uapa-S ## About the Role An excellent master's degree (and a PhD) in computer science, software engineering, data science or a related field - At least a few years of industry experience in software engineering, data engineering, scientific computing or AI engineering, with hands-on experience delivering and supporting production software, data-intensive workflows or computing services - Strong programming skills and practical experience with Linux, containerisation, version control and service deployment on HPC systems or cloud infrastructure, including GPU-accelerated workloads - Experience with deep learning frameworks, production model serving and end-to-end data and model pipelines, including monitoring, experiment tracking and model lifecycle management - Evidence of research or software contributions through publications and/or open-source projects - Self-motivation, autonomy and sound judgement, with the ability to take a system-wide view and adapt to operational challenges - The ability to collaborate effectively in multidisciplinary, international teams, supported by a very good command of written and spoken English with extensive vocabulary (at least B2 level according to the ), ideally supported by a certificate confirming the language level ## Description In this position, you will join our . The lab advances interdisciplinary research and operational services by combining geoscience and remote sensing methods with AI and advanced computing technologies for Earth observation (EO) applications. Your work will focus on deploying, operating and scaling scientific software, AI services and data workflows across supercomputing, cloud and quantum computing environments. You will work closely with our researchers and international partners from academia, industry and public agencies, bringing together scientific computing, data engineering and AI to address EO challenges. Specifically, you will: - Design, deploy and operate end-to-end federated EO and AI workflows, from multisource data collection and pre-processing to model training, serving and delivery of actionable information - Build and maintain containerised and cluster-based environments for AI services, including deployment pipelines, monitoring, logging and alerting - Develop, port and optimise scientific software and workflows across HPC, cloud and hybrid quantum-classical environments, ensuring performance, scalability, portability and reliability - Apply sustainable software engineering and MLOps practices, including CI/CD, automated testing, packaging, versioning and documentation, to support reproducibility and maintainability - Develop and document stable APIs and accessible interfaces that help users integrate EO and AI services into their operational workflows - Collaborate with researchers and infrastructure teams to align applications with available computing, storage and networking resources, and support the adoption of HPC and AI services - Contribute expertise in advanced analytics to research initiatives and the preparation of proposals for national and international funding calls and tenders - Contribute to open-source projects, technical reports, publications, presentations and educational activities, including courses, hackathons and community events ## Related Videos - [This App Reached 10,000 Users in One Week. 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