Software development engineer állások XVI. kerületben főiskolai végzettséggel

• Accounting for intercompany transactions, special business events, and monthly/quarterly/annual financial close activities
• Reconciling and investigating billing and cost allocation queries for prompt resolution

• Collect outstanding invoices in a timely manner to reduce aged receivables while maintaining positive working relationships with customers.
• Prepare quarterly reviews of Bad Debt Reserves and provide recommendations for doubtful accounts.

Managing Make FP&A performance insight and decision support by converting manufacturing cost drivers, production activity, process-order performance and variance data into clear, action-oriented analysis for Make leaders, regional teams and functional cost owners...

• Leading forecasting, close, and annual planning
• Partnering with Commercial Senior Directors and country District Managers to drive forecasting mechanisms and support business growth through customers and market analysis, deal management, KPIs tracking, and variance reporting

• Development and maintenance of end-to-end manufacturing process models
• Application of simulation, value stream mapping, digital process modeling and analytical tools for manufacturing optimization
• Conducting manufacturing network assessments and supporting strategic footprint optimization

• Building scalable testing frameworks that enable the team to deploy confidently and maintain high system reliability
• Designing comprehensive test suites covering unit, integration, and acceptance testing that catch issues before they reach production

• Analysing system requirements from a verification point of view
• Supporting breakdown activities and the creation of lower tier requirements
• Planning, defining, and maintaining the system and subsystem verification strategy in collaboration with System Engineers and Project Managers

• Delivering accurate and timely analysis of Make actuals, forecast, AOP and scenario views using Prism standard dashboards, SAP data and agreed definitions
• Analysing production cost, conversion cost, manufacturing overhead, yield, usage, scrap, cost-center performance and process-order variances

• Building and maintaining scalable cloud infrastructures using modern services and best practices
• Proactively detecting, analyzing, and fixing vulnerabilities and performance bottlenecks in cloud environments

Architecting and implementing scalable AI/ML solutions on Azure or GCP, leveraging services such as Azure Databricks, Azure ML Studio, Data Lake Storage, Event Hubs and Functions or GCP equivalents...