Senior data engineer m f d állások, munkák it programozás, fejlesztés területen

Design and develop scalable data architectures for integrating our tailored and standard software solutions into our clients' environments, collaborating with professional services, software engineering and cloud operations....

Develop and maintain data architecture: create and manage robust data architectures that support high-volume, high-throughput SaaS applications, focusing on reliability and scalability....

• Take care of over 80.000 internal users and improve their experience with our IT products and services
• Collaborate with product and service owners to monitor and push the progress of their UX actions

• Service Delivery: Delivering remote and on-site services to our global and mid-market customers across Europe.
• Process Optimization: Design, analysis, and optimization of complex business processes, as well as error analysis in heterogeneous system landscapes with a focus on SAP MDG.

• Manage strategic and operational projects across multiple systems and teams in the payments area
• Evaluate and translate business requirements to ensure technically sound and efficient solutions

To deliver high-quality, user-focused frontend experiences, you build complex UI features in React & Next.js, develop component-based UI systems and optimize UX together with our Product Managers and Designers....

• Assess processes to identify improvement and automation opportunities.
• Collaborate with stakeholders and cross-functional teams to define actionable solutions.
• Define the needs for application and data landscape to enable automation and AI integration.

implement and maintain software applications and IoT systems on AWS using Python, SQL, and Linux, and continuously optimize application performance and identify areas for improvement....

• Present Sovereign Cloud offering, technical details, and engagement model, managed service offerings to customers and stakeholders.
• Present the technical and value proposition for private cloud on various platforms (AWS, Azure, GCP, SCI etc.)

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

Design, code, review and test assigned features and user stories, in accordance with the agile methodology employed by Diligent Collaborate with the product owner and engineering manager in the analysis and documentation of technical requirements and user stories for assigned features Assist with...

• Design, develop, and maintain high-quality software across the full stack for our core instrument software.
• Play a key role in building and evolving robust back-end controllers using C#/.NET that interface with instrument hardware and handle data processing.

End-to-end design of the go to market for the sub-solution area including strategic input and direction relative to transformation programs...

• Designing, building, testing and operating software solutions for logistics and manufacturing use cases incl. Robots, AGVs and other (semi) automated manufacturing equipment.
• Working in a hybrid infrastructure environment (cloud and on-prem), managing complex software deployments at scale

• Design, configure, and optimize interactions with LLMs through retrieval-augmented generation (RAG), and orchestration.
• Implement tool-calling patterns to integrate LLMs with SaaS tools and APIs.
• Leverage fine-tuning or parameter-efficient techniques for performance enhancement.

As a Cloud Architect & Advisor (CAA), you will be responsible for the private cloud technical foundation of RISE with SAP and Business Data Cloud (BDC) engagements. The CAAs' mandate spans the initial sales cycle, subsequent change requests and renewal events for private cloud architecture changes....

Project Management: Provide professional project management and coordinate the transformation from SAP ECC to SAP SuccessFactors, ensuring alignment with organizational goals and technical requirements....

As the owner of the transformation roadmap, you ensure alignment across all business functions and country organizations...

• Translate business needs into data and product requirements, prioritizing features based on impact and feasibility.
• Execute the roadmap for data generation, data science, and AI projects aligned with the digital R&D strategy.