Adatanalitikus állások Németországban (it programozás, fejlesztés)

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

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...

NEW SOLUTIONS EMERGE WHEN THINKING ISN'T HARD-WIRED. More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly new solutions. Naturally, this includes flexible working models, so that our...

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

Lead with ambition: You'll take the driver's seat and redefine the grocery shopping experience for tens of thousands of customers across Germany and beyond. Your unstoppable ambition to drive innovation and create visible impact will help you become a true leader at Picnic!...

Lead with ambition: You'll take the driver's seat and redefine the grocery shopping experience for tens of thousands of customers across Germany and beyond. Your unstoppable ambition to drive innovation and create visible impact will help you become a true leader at Picnic!...

Requirements elicitation: Collaborate with business stakeholders to gather, challenge and document underlying business needs, translating these into scope, objectives and business goals for the Mortgage product...

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

• Become familiar with our technology stack and learn everything about the high-level job market and our job classification framework.
• Research and select the most high-level jobs and classify them according to our key criteria.

• 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.

• Designing Client Lifecycle workflows for various Group business lines
• Conducting functional and technical design, acceptance tests, and projects reporting
• Deploying projects internally and coordinating teams
• Regular monitoring and staying attentive to digital opportunities and impacts

• Analyze and optimize business processes, promoting best practices in the domain Production
• Coordinate initiatives related to creating conceptional (pre-)studies to recommend a comprehensive way forward for reaching business goals

• Define business requirements and work effectively with stakeholders;
• Respond to IT support tickets;
• Build internal and external relationships effectively;
• Provide business analysis, outlining problems, opportunities and solutions for the business;

WHAT SHOULD YOU EXPECT DURING THE 2-YEAR PROGRAM? Stretch Rotations You will boost your strategic thinking and influencing skills having the sole responsibility of planning, overseeing, and executing 4 exciting data science projects. The projects will be supported by different teams, giving you the...

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

Design and implement scalable, secure, and maintainable fullstack solutions for AI-enabled applications and platforms, including components that leverage LLMs to enable advanced user interactions and automation...

• Develop and optimize our job data crawling pipeline, ensuring high-quality job data acquisition.
• Implement and refine import mapping, improving data accuracy and classification.
• Support the integration of external data sources via APIs or scraping frameworks.

• 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

• development of computational methods and processing pipelines for large image datasets
• application of existing and development of new analytical and ML solutions
• data visualization and communication
• work in close collaboration with our medical collaboration partners