Python állások Németországban (it tanácsadó, elemző, auditor)

• Act as the primary analytical partner for stakeholders in Chartering, Finance, Fleet, or Operations, translating business needs into clearly scoped data solutions.
• Own the roadmap and prioritization of your portfolio of data products in alignment with business priorities.

• Translate R&D business and user requirements into effective system, process, and automation solutions
• Design, implement, test, and continuously improve automated workflows, AI-augmented data flows and AI Agents
• Ensure stable data flows, high data quality, and reliable system operations

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

Acting as a senior technical contributor within automated regression testing and sharing expertise with colleagues across the Test & Verification team....

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Execute scientific experiments on internal as well as public data.

• Pioneer technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Gain new insights by bringing together rich semantic context with large scale business data.

Build and refine the forecasting models that directly shape our trading strategies and maximize the value of renewable energy in the market....

Independently apply advanced knowledge of security architecture to guide software engineers in building secure products and services across a diverse technology stack, including microservices, mobile applications, and cutting-edge AI-driven solutions....

• Data assets and strategy: Own pre-training, evaluation and metadata assets, shape their strategy and expand them with new data sources.
• Data roadmap and prioritization: Maintain the short- and long-term roadmap, manage the extraction backlog and coordinate dependencies.

• Define test strategies for new features, determining what to cover manually and what to automate.
• Conduct detailed testing of new features, considering how editors will use them. This includes judgment on audio processing quality and fidelity.

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

Become a trusted partner within Sales Controlling Consumer by mastering end-to-end processes, data flows, governance needs, and timing constraints...

Design and maintain scalable Lakehouse architectures and data pipelines using Azure Data Factory, Databricks, and Microsoft Fabric to support analytics and AI products....

Drive the Cloud Infrastructure Security function roadmap in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• Conduct security assessments, including vulnerability scanning, penetration testing, secure code reviews, and reverse engineering of applications and products
• Perform threat modeling and security risk assessments for software, connected devices, and cloud-based service

• Development and application of advanced data science methods, including transformer-based models, to marine and Arctic biodiversity data
• Work with large-scale biological and environmental datasets (sequencing data, eDNA)

• Conceptual and technical development of the existing knowledge organisation system
• Modelling and processing of knowledge bases for generative AI applications
• Data cleaning, transformation, and modelling

• Collaborate with business stakeholders and leadership teams to gather requirements, develop, and support data modelling and BI solutions for organizational stakeholders
• Integrate different data sources into a cohesive data fabric, ensuring data consistency, accuracy and reliability

• building the data infrastructure
• designing and implementing the neural-process architecture
• you will develop scalable data pipelines for heterogeneous environmental datasets
• you will design and implement neural-process-based architectures for spatio-temporal prediction

• Support architecture discussions, workshops and decision-making processes
• Create stakeholder-ready presentations and architecture artefacts
• Help drive Data & AI governance and architecture initiatives
• Collaborate with engineering, business and data teams across the organization