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• Design and implementation of complex enterprise-grade software solutions
• Definition and evolution of application, data, and integration architectures
• Design and architecture of service-oriented and event-driven systems
• Development of distributed, resilient, and highly available platforms

Translate business needs into technology solutions – Work with clients and Deloitte teams to understand business challenges and help turn them into practical, well-structured technology solutions....

• Understand challenges across Finance and convert them into scalable Oracle-based solutions
• Take functional ownership of Oracle modules supporting general accounting, payables, receivables, assets, treasury, expenses, tax and financial reporting

  DATA PRODUCT OWNER (M/F/D) THE ROLE: As our Data Product Owner, you shape how autoSense builds and uses data, and you set the priorities for our data team. You turn business and partner needs into data products. You're technical enough to review work, prototype ideas, and unblock the team when it...

• Whether in the cloud or an on-premises data center, you expertly navigate the world of Big Data, helping our clients make their data business- or operations-ready.
• You access diverse data sources efficiently and reproducibly.
• You design, test, and monitor distributed data processing pipelines.

• Look beyond stated requirements for better ways to solve client problems, whether through Salesforce, AI or a smarter process
• Identify opportunities for Agentforce, Data 360 and other new capabilities, and turn them into use cases, prototypes, POCs and pilots

  SENIOR DATA ENGINEER (M/F/D) THE ROLE:   As Senior Data Engineer / Data Product Owner, you own autoSense's data products and the platform behind them, through our ETL/ELT pipelines, from stakeholder conversations and backlog refinement to hands-on development on our stack (AWS, Airflow, dbt,...

• You help clients achieve their data & AI ambitions on a variety of projects, including:
• Data/ AI Strategy & transformation: i.e., identifying value adding use cases, assessing client maturity and executing transformation roadmaps.

Trusted Advisor: You guide our clients towards successful solutions to their data challenges. You'll lead design sessions, architecture reviews, proof-of-concept projects and evaluation of new data technologies and vendors....

Secure operational continuity across SAP MM processes - including ordering, replenishment, inventory, material master, and supplier master - and independently resolve tickets and incidents raised by Power Users across divisions....

• Strong hands-on experience with AWS cloud environments and services.
• Experience with Infrastructure as Code, ideally Terraform.
• Knowledge of CI/CD, automation, containers and modern DevOps practices.
• A passion for designing reliable, scalable and secure cloud solutions.

• G ood development understanding in both front-end and back-end technologies, while leveraging SharePoint object model /architecture;
• In depth technical understanding of the M 3 65/SharePoint online architecture. Able to configure SharePoint inbuilt and PnP based components;

Technologydue diligence: Assess technology landscapes, applications, infrastructure, cloud,data, cybersecurity, operating models and technology spend to identifytransaction risks and opportunities....

Technology due diligence: Lead assessments of technology landscapes, applications, infrastructure, cloud, data, cybersecurity, operating models and technology spend to identify deal-relevant risks and opportunities....

• Review and verify map, business, address, and location information
• Research information using online maps, search engines, directories, and reliable sources
• Compare information from different sources and determine which result is most accurate

• Ensure the stable operation, maintenance and business continuity of our APPlus ERP system.
• Provide 1st and 2nd level application support, troubleshoot issues and coordinate problem resolution with external software vendors.

• Implementation of cloud infrastructure for SaaS & PaaS usage according to regulatory requirements and industry best practices
• Shape and implement the hybrid Cloud platform architecture blueprint including identity management, observability and security for Azure and AWS landing zones

• Implementation of cloud infrastructure for SaaS & PaaS usage according to regulatory requirements and industry best practices
• Shape and implement the hybrid Cloud platform architecture blueprint including identity management, observability and security for Azure and AWS landing zones

• Designing, building and running ML workflows to build and improve our product catalog
• Building evaluation sets and validation logic that catch quality problems before customers do

• You will work in our motivated and solution-oriented AI Feature Team using agentic development methods and with a high degree of personal responsibility.
• You will design, develop and deploy scalable AI-enabled features in our products that are used by more than 100’000 customers.