Database administrator állások, munkák Németországban

Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Develop and execute vision....

End-to-End Data Lifecycle Ownership: Lead the design and implementation of tracking strategies that cover the entire lifecycle: from initial requirements gathering to Generation, and finally to automated Validation....

• Unique opportunity to contribute to the development of the SAP-RPT model family
• Design, develop and manage tools and data pipelines that enable the processing of tabular data at scale

• Drive the evolution of retail credit risk frameworks: You will take
• methodological ownership

• You will contribute to improving our foundation recommender system
• Your role involves exploring and evaluating new machine learning methods, including applications of LLMs for recommender systems
• Expect to support personalized CRM communications (push notifications, in-app messages, newsletters)

• Own the implementation of our Product Analytics strategy and bring the Business Insights vision to our product areas.
• Act as a strategic partner in our product discovery streams, deriving data-driven recommendations for product decisions.

Independently troubleshoot and resolve issues related to ERP and integrated applications, escalating to other IT teams as infrastructure or networking, or third-party vendors when necessary....

• Design and implement modern front-end interfaces for energy performance dashboards and AI-driven applications
• Develop interactive visualizations and compelling data storytelling components for business stakeholders

Credit Analysis & Transaction Support: Conduct in-depth financial and business analysis of corporate clients, prepare credit proposals, and coordinate approvals with Relationship Management, Risk, Legal, and Product teams....

• Build Fullstack Features: Implement user-facing features using modern frameworks and connect them to backend APIs.
• Backend Development: Contribute to Python-based backend services (Django REST or FastAPI), including API endpoints and business logic.

• Designing and maintaining the overall software architecture for our metrology systems
• Collaborating with Software Engineering, Hardware, and Product Management to align architecture with technical and business requirements

• 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

• Conceptual and operational support in building and maintaining the MB.OS Portfolio Backlog
• Data evaluation and quality analysis of planning elements in Jira, including creating and using dashboards
• Support in organizing and conducting MB.OS Portfolio planning conferences
• Preparation of presentations

You design and build high-performance search and query pipelines over PB-scale MDF4 and MCAP data lakes, enabling ML engineers to find relevant driving scenarios, sensor conditions, and edge cases across billions of records in seconds....

• Design and implement scalable data engineering and analytics solutions in Azure and Databricks.
• Translate business and user requirements into technical architecture, concepts, implementation and roadmaps.

• Develop and optimize data pipelines and algorithms within the Snowflake environment.
• Manage code repositories, automate deployment processes, and collaborate with team members using Azure DevOps for continuous integration and machine learning model improvement.

• Operate, maintain, and further develop cloud-managed Kubernetes clusters
• Build, maintain, and continuously improve CI/CD pipelines using GitLab CI
• Develop and maintain infrastructure as code using Terraform, Ansible, and Helm
• Automate operational tasks and improve developer workflows

• Support strategic discussions and product designs in the customer identity product area.
• Create and support the execution of the product roadmaps, with an outcome/ KPI-driven mindset.

• Ensure data quality within the Corporate Data Domain
• Perform data‑quality checks and drive corrective actions
• Analyse root causes of data issues and coordinate resolution
• Own and maintain the Corporate First Line Data Domain from a business perspective

• Drive implementation of regulatory requirements such as Digital Operational Resilience Act (DORA) into the legal entity specific governance framework
• Help ensuring compliance prior to respective regulatory assessments from internal and external stakeholders