Expert állás, munka

• Responsibility (Product Owner) for all Processes managed in SAP SF Employee Central or in associated digital tools
• Act as a master data expert in all HR digitalization initiatives and consult Global HR Process Owners in data quality and data strategy matters

• Design, build and maintain backend services with Kotlin and Java
• Work on our platform, optimizing for performance, scalability and stability
• Embrace the challenge and opportunity to design and implement systems that effectively bridge between the digital and physical worlds

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....

• Lead technical discovery sessions to deeply understand and map complex merchant requirements.
• Design and present tailored payment solutions, clearly mapping Mollie's APIs and products to specific business needs.

Lead the design, development, and evolution of suena's backend and API infrastructure—ensuring scalability, performance, and reliability as our platform grows....

• Design, develop, and implement algorithms tailored to Sentec systems, ensuring efficiency, accuracy, and reliability
• Embedded Software Development: Develop and maintain embedded software applications in C and C++, adhering to industry standards and best practices

Configure and implement processes in Variant Configuration, Production Planning & Detailed Scheduling, Forecasting, MRP, Capacity Planning, Shop Floor Control, Manufacturing Execution Processes, MES integration, and Production Order Management & Execution including Availability Checks,...

• Defining, implementing, and continuously improving the overall testing and quality assurance strategy
• Establishing and maintaining quality KPIs, reporting structures, and governance models
• Driving data-driven quality improvements using statistical methods and analytical insights

• YOUR RESPONSIBILITIES:
• Design and implement high-performance software components for complex distributed systems, focusing on C++ development and advanced network protocols.
• Develop features aligned with the product roadmap and implement custom solutions for individual customer requirements.

• You implement numerical simulation methods and their applications for large scale power systems.
• You develop high performance algorithms for dynamic simulation taking also advantage of hardware-based acceleration techniques such as FPGA or GPU.

• Ensuring the sustainability of community ESM codes, and enabling the adoption of modern HPC systems
• Enabling and improving high-performance computing capabilities of ESM codes, including performance optimization

• Plan, manage, and deliver training programs for global transformation initiatives in EMEA, starting with SAP S/4HANA
• Ensure training delivery meets defined timelines, budgets, processes, and quality standards
• Monitor progress, identify risks early, and implement effective mitigation measures

• Combine curiosity, fast understanding of business processes, and strong analytical skills to identify and implement impactful Data Science solutions
• Lead end-to-end development and operationalization of Machine Learning models within a team of experienced Data Scientists and Data Engineers

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...

Design and implement cloud-native data pipelines using GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and Cloud Storage Develop and optimize data ingestion, transformation, and orchestration workflows for analytics, BI, machine learning, and large-scale processing use...

• Develop, test, deploy, and monitor scalable filter pipelines and transformation processes that extract relevant metrics and features from billions of events.
• Data management in a Data Lake.
• Collaborate with data scientists and software developers to optimize and scale high-performance ML models.

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the Database Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for operational data storage solutions.

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.