Software development engineer állások I. kerületben főiskolai végzettséggel

• Build and maintain scalable cloud infrastructures using modern services and best practices
• Proactive detection, analysis, and fixing of vulnerabilities and performance bottlenecks in cloud environments

• Support the end-to-end delivery of finance projects
• Lead workstreams
• Gather and analyze information
• Develop actionable recommendations for successful delivery
• Work in a high performing project team helping clients drive profitability and performance

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build AI solutions for intelligent document understanding

Automatizálás és digitalizáció manuális hibakeresési, KPI-ellenőrzési és vizsgálati folyamatok kiváltására okos, automatizált megoldásokkal és scriptekkel...

• Creation of architecture and detailed design of HIL environments for embedded space systems
• Integration and maintenance of HIL environments for embedded space systems
• Integration of hardware components, simulators and software into cohesive systems

• Supplier onboarding support
• Supplier governance support
• Supplier performance management
• Sourcing activities support
• Management of assigned supplier activities
• Vendor due diligence support
• Maintenance of accurate supplier data
• Monitoring of supplier KPIs and service levels

• Technical leadership and mentoring of data engineers
• Technical oversight for Databricks solutions
• Design and implementation of scalable ETL/ELT pipelines using Databricks, Python/PySpark, SQL, and Delta Lake

• Analysis and research of cloud-native tools and frameworks for Google Cloud Platform solutions
• Support for the T-Systems Public Cloud Product Management Team in building and defining solutions

• Definition and leadership of the commercial analytics roadmap
• Design and development of commercial analytics, Power BI dashboards and self-service solutions
• Establishment of analytical standards and promotion of best practices

• Partnership with GBS Operations leadership and Global Process Owners to prioritize digital initiatives
• Oversight of digitalization efforts for SSC workstreams (R2R, P2P, Customer Care, O2C)
• Partnership with Global Process Owners to drive development pipeline for workstreams

• Supporting the annual planning, monthly reporting, forecasting and O&R processes for Overheads
• Preparing variance analysis and insightful commentary, identifying key drivers, trends, risks and opportunities

• Planning, implementation, development and testing of HW/SW components for the company backbone and data center networks
• Preparation of technical feasibility studies, design proposals and execution of POCs for the networks

• Lead client discovery and solutioning
• Own the information design layer
• Design and develop executive and tactical BI solutions
• Elevate client reporting maturity
• Leverage AI tools in daily workflow
• Bridge analysis and communication
• Drive semantic model design and development

• Support KPI governance across core supply chain metrics including Inventory Above/Below Entitlement, Slow-Moving Inventory, End-of-Life Inventory, Delivery, and Quality
• Refresh, validate, and prepare data required for the monthly governance cycle

• Development and maintenance of end-to-end manufacturing process models
• Application of simulation, value stream mapping, digital process modeling, and analytical tools to optimize manufacturing flows and improve productivity

• Lead and manage assigned FP&O processes
• Ensure consistent execution, effective governance, and alignment with global standards across planning, forecasting, and analytical activities

• Definition and deployment of manufacturing test strategy across internal sites and Contract Manufacturing partners
• Development of standardized test architectures for PCBA manufacturing
• Development of standardized test architectures for electromechanical assemblies

• Support delivery of finance projects
• Lead workstreams
• Gather and analyze information
• Develop actionable recommendations
• Work in a high performing project team helping clients to achieve or build efficient financial processes in the financial services industry

• Design, deploy, and manage scalable cloud and hybrid infrastructure environments with a primary focus on automation, reliability, and security
• Build and maintain Infrastructure-as-Code solutions using Terraform and other automation tools to provision and manage AWS and on-premises resources

• Data pipeline development
• Data integration
• Data warehousing
• Data modelling
• Data quality and governance
• Performance optimization
• Collaboration with data scientists and analysts
• Technology selection
• Security and compliance
• Monitoring and troubleshooting