Engineering állások, munkák Budapesten

Performing tasks related to the position....

• Design and propose changes to current data systems including migration paths and modernization strategies for legacy architectures
• Define and evolve the target architecture for data platforms covering ingestion, storage, processing, and consumption layers

• Coordinating and executing testing activities within project teams
• Interpreting business and technical requirements to identify relevant test conditions
• Preparing and maintaining core testing artifacts such as test documentation, test scenarios, and supporting data sets

• Software engineering strategy development and execution
• Establishing software engineering standards across the SEON platform
• Building and developing a team of software engineer leaders
• Leading recruitment efforts for engineering team growth

• Regular Review And Challenge Of Engineering Design Documents
• Building And Mentoring A High-Performing Engineering Team
• Contributing To Strategic Planning And Execution As Part Of The Engineering Leadership Team
• Acting As A Role Model And Championing Leadership Behaviors

• Quality engineering strategy definition and driving across software development lifecycle
• Design and evolution of metrics-driven quality frameworks
• Establishment of automation-first quality practices

• Line management, coaching, and career development for a team of Full-Stack Engineers
• Performance management and professional growth fostering
• Serving as dedicated Solutions Architect and technical lead on strategic cloud-native application development projects

• ETL Framework Development
• Pipeline Optimization
• Modern Engineering Practices Application
• Infrastructure & Automation

• Leading a high-performing team of 3 to 8 engineers
• Working across the complete software lifecycle including requirements, planning, development, release and support and maintenance
• Developing Linux device drivers and exposing these to application software

• Providing technical assistance and guidance to Wise's data engineering and machine learning community
• Taking ownership of difficult technical problems
• Participating in the vision for data engineering through documents and conversations
• Getting buy-in from stakeholders and leadership

• Delivery support of customer projects using Tulip's no-code platform
• Solution design and configuration for specific manufacturing processes
• Participation in customer interactions and relationship building with plant managers, process engineers, and operators

• Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage)
• Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability

• Create, maintain, and validate semiconductor-related Bills of Materials (BOMs)
• Ensure BOM accuracy and consistency across multiple product lines and vehicle programs
• Support Engineering Change Management (ECR/ECO) activities related to semiconductor components

• End-to-end operational lifecycle management of grid access contracts and connection agreements
• Cross-functional and third-party leadership coordination for active projects
• Risk and timeline alignment monitoring for utility requirements and capacity commitments

• Implementation of safety mechanisms and diagnostics
• Low-level driver development
• Register-level development
• Interrupt handling
• Memory and peripheral diagnostics
• Watchdog management
• Clock, reset, and power supervision
• Implementation of startup/runtime diagnostics
• Fault detection and handling

• Integration of IPs and development of logic for subsystems
• Understanding and reviewing subsystem architecture
• Development of microarchitecture specifications
• Review of verification test plans
• Debugging and fixing issues

• Strategic backlog and scope ownership
• Roadmap, vision and market strategy
• Stakeholder management and ambiguity navigation
• Quality and built-in engineering excellence collaboration
• Operational readiness and 3rd line support oversight

• Leading, coaching and mentoring a team of engineers
• Collaborating daily with product managers, data analysts and designers to improve onboarding flows and processes
• Shaping the roadmap and setting the technical and product vision with the Product Manager and team

• Setting the strategic direction for IT & Cyber Risk product area
• Owning the product vision, roadmap, and outcomes for IT & Cyber Risk on the Diligent One Platform
• Partnering with engineering, design, data science, and senior leadership to build products for CISOs, risk managers, and boards

• Design and implement data pipelines processing large datasets from multiple sources
• Develop, maintain, and optimize ETL processes using tools such as Keboola, custom Python, and SQL-based transformations
• Work with marketing and advertising data sources (e.g. Google Ads, Meta/Facebook, ad servers)