Python programmer állások Németországban egyetemi végzettséggel

We are looking to recruit, at the earliest possible date, a full-time and permanent SOFTWARE DEVELOPER (M/F/D) FOR SCIENTIFIC APPLICATIONS WITH A FOCUS ON BIG DATA to strengthen our development team at KWS Saat SE & Co. KGaA in Einbeck, Lower Saxony. The role involves replacing an existing...

• Develop and maintain ETL/ELT pipelines for both structured and unstructured data
• Ensure the integrity, availability, and performance of data across ingestion and storage layers
• Collaborate with analysts and architects to translate business requirements into scalable data models

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

Directly impact your team's tech scope: work hand in hand with PM and EM to manage product technical roadmaps and dependencies to minimise technical debt....

• Design, build and operate scalable test automation frameworks for enterprise environments
• Drive and consult on test automation strategies for our customers
• Develop and maintain automated test cases (e.g. regression, integration, system and acceptance tests)

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, storage systems, and the APIs that...

• To write manual Test cases for new features and functionalities in Jira Xray
• To execute test cases and document test results and evidence in Jira Xray
• To raise the bugs from testing and following it with developers on bug status

• Development and implementation of numerical models for simulating microbial transport in porous media
• Modelling hydrogen conversion by subsurface microorganisms using suitable bio-chemical reaction kinetics models

Cloud platform engineering: Develop and implement automation processes for the deployment and operation of cloud software and services using platform engineering, infrastructure as code (e.g., Terraform), and Kubernetes....

You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments....

You will design and deliver end-to-end ADAS AI models such as object detection, behavior prediction, and trajectory planning - from data analysis and model design to SOP-ready release....

Conducting mathematical research in one of the above-mentioned subfields. Developing software packages to support the research project. Publishing research results and presenting them at conferences Contributing to teaching activities and, if required, supervising student assistants. ...

As a research engineer, you will be at the forefront of pioneering system design, with the responsibility to architect, develop, and deploy sophisticated AI systems that seamlessly integrate reinforcement learning with agentic AI systems and multi-modal foundation models....

• Operate, maintain, and scale our Linux-based on-premise infrastructure
• Work partly on-site as part of a hybrid work setup, maintaining and supporting on-prem systems
• Manage and expand our Kubernetes-based cloud environments in Europe and China

• Manage and scale our Teleport infrastructure for secure access to servers, databases, and Kubernetes clusters.
• Develop and maintain automated Identity and Access Management (IAM) workflows within AWS.
• Implement and improve Just-In-Time (JIT) access solutions to reduce our permanent attack surface.

Design and Own End-to-End Solutions: Lead the architectural design and implementation of full-stack features, from robust backend services to intuitive internal dashboards....

• Analysis of avionics system design/requirements requirements
• Develop executable test plans which address technical specification verification requirements
• Definition and adaptation of design requirements to mission data generation, incl. workflow definition

• Participation in the execution and organization of research projects
• Guided, but also independent execution of experimental research work in the aforementioned subject area, from programming experimental setups, data acquisition, and data analysis, to the dissemination of the results

Design, implementation, and maintenance of workflows for data processing, instrument control, as well as data transfer and storage for continuous atmospheric monitoring devices....

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases