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• Architect cloud-native AI applications integrating LLMs vector search and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines model serving and AI agents in production
• Lead cross-functional teams (Full-stack AI Data)

• Working together with the client on their requirements
• Transferring requirements to the backlog of understandable and estimable project tasks
• Understanding priorities
• Preparing release/sprint plans
• Focusing on maximum transparency when working with stakeholders

• Build and maintain dataset ingestion, cleaning, and versioning pipelines
• Design and operate labeling workflows including quality control and inter-annotator agreement tracking
• Own dataset testing including coverage analysis, class balance, leakage detection, and dataset documentation

• Organize, box and deliver original contract documentation to an external archive in accordance with regulations
• Receiving, filing and forwarding internal mail from organizational units and branch networks
• Filing, handling and distributing incoming and outgoing mail

• Onboarding new restaurant and retail partners to the Wolt platform
• Communication with partners via email and phone mostly in German
• Guidance of partners through setup requirements and processes
• Uploading and updating menus in Wolt’s internal systems

• Planning and coordinating field service operations
• Serving as primary liaison between field service teams, customers, and external stakeholders

• Proactive out of stock management with customer involvement by offering alternatives
• Management of phone orders and customer initiated order amendments in SAP
• Ownership of incoming queries from customers
• Raising and responding to internal query management tickets on time as appropriate

• Understanding and aligning with business needs, identifying related data requirements
• Participating in technical pre-sales activities, including effort estimation, and proposal creation
• Architecting and planning robust data models and modern data platforms

• Invoice reconciliation with contracts and evidence of obligations met
• Validation and coding of claims for the respective cluster
• Single point of contact for the Team Leader on Customer Spend for the relevant cluster

• Design and develop normalized and denormalized data models to support reporting and data integration needs
• Apply dimensional modelling techniques to create efficient, scalable, and business-oriented data models
• Develop and maintain data transformations and models using SQL and dbt

• Creation of bottom-up, data backed business models and scenarios for new initiatives, pricing changes, and product bets
• Partnership with Product and Commercial departments

• Dedication towards undisturbed business activities by committing to Service Level Agreement
• Ensuring technological architecture meets user requirements
• Supporting data maintenance related queries including data quality, lifecycle management and monitoring

• Microsoft SQL Server operation including maintenance, migrations, administration, configuration
• Support for developers, testers and DevOps engineers about best practices in database operation

• Technical ownership of governance infrastructure supporting the GBS Digital Enablement organization
• Maintenance and continuous enhancement of governance infrastructure
• Ensuring reliability, scalability, governance and accuracy of tools, workflows, data structures and reporting solutions

Establishment and operation of the build, release, and observability backbone for Meridian technical due diligence, code quarantine, reproducible software validation, controlled deployment preparation, and reliable engineering handover across cloud platform components...

• Leading a team of Reward Analysts covering the Compensation area
• Driving and collaborating on technical improvements and innovation
• Configuration of the Workday Job Catalog, eligibility rules, grades, grade profiles, bonus plans, allowances

• Act as a subject matter expert for Order-to-Cash (O2C) and customer service processes
• Partner with service providers to improve operational performance, customer satisfaction, and service quality
• Lead and coordinate the resolution of escalated operational issues

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools (Terraform) and CI/CD

• Analysis of webshop and digital campaign performance across multiple brands and channels
• Building and maintaining campaign benchmarking databases using historical performance data
• Development of forecasting methodologies and performance estimates for future campaigns

• Data ingestion processes from various sources into the Data Lake
• Design, development, and optimization of complex data pipelines for reliable data flow
• Build, development, and maintenance of frameworks facilitating the construction of data pipelines