Junior database administrator állások Németországban (it programozás, fejlesztés)

• Design and build scalable backend services and distributed systems
• Develop cloud-native microservices powering global applications
• Build high-performance APIs and event-driven architectures
• Own services end-to-end: design, implementation, testing, deployment, and monitoring

• Develop data schemas for the standardised exchange of medical research data
• Conceptualise and implement electronic data collection forms and advance existing processes for data collection and data curation

Serve as the process expert for offer creation, pricing, approvals, quoting, and order creation, driving simplification, automation, and end‑to‑end process transparency....

Strengthen the completeness and reliability of the Group's Data Catalog (Data Galaxy) by conducting in depth analyses of data systems, governance frameworks, and business usage across the organization...

• Work closely with product owners and stakeholders to analyze business needs and integrate them into the CRM system
• Define and enforce CRM development standards based on best practices and governance models
• Configure the system, workflows, automation, and integrate it with third-party systems

• Design, develop, and operate reporting solutions for Procurement on our Data Lake - together with our team
• Take end-to-end responsibility for your reporting products: connecting data sources, developing and optimizing complex ETL pipelines, and modeling data according to a star schema

• Own and execute the full IT audit cycle, covering risk and control management to ensure operational effectiveness, system reliability, and compliance with all relevant regulations and directives
• Support the definition of internal audit scope and contribute to the development of annual audit plans

• 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

• 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)

• 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.

• 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

• 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

• 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

• 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

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....

• 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.

• 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

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Participate in monitoring, troubleshooting, and resolving data processing issues

Strategic Blueprinting: Design and maintain the enterprise-wide IT architecture, ensuring all new business applications integrate seamlessly into our existing stack....