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• Definition and maintenance of the end-to-end technical architecture for all commercial and enterprise systems
• Design of the central integration strategy and layer (API Gateway, microservices) ensuring seamless data flow between CRM, PIM, PLM, ERP, and consuming applications

• Definition and execution of the MDM transformation roadmap, transitioning from a complex carve-out environment to a streamlined PE-backed operating model
• Establishment of a scalable and pragmatic MDM framework aligned with business priorities

As a Software Engineer you will typically work in project teams of 5-10 people and gain experience in different roles throughout the life cycle of a software development project....

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, observability, and the APIs that...

• In this role, you advise the Vaillant Group department Supply Chain – Logistics and implement designed solutions within the SAP S/4HANA landscape
• You implement and further develop processes and applications within the area of transportation management

Business Analysis & Requirements Engineering: Translate business needs from the Sales & CRM Business Owner and stakeholders into user stories, technical specifications, and process flows....

• Assess and advance the architectural intent crafted during pre-sales.
• Provide architectural leadership across the full transformation lifecycle and guide platform adoption and evolution.

• Investigate and resolve data inconsistencies across complex end-to-end data pipelines
• Automate complex analytics across large datasets to validate outputs and identify anomalies or inconsistencies
• Debug pipeline failures and improve overall pipeline robustness

Manipulating and analyzing complex, high-volume and high-dimensional data to gain insights by using appropriate data analysis techniques, algorithms and programming languages in close collaboration with subject matter experts...

• Define and evolve data models for R&D entities
• Design and implement robust data pipelines and automated data quality checks
• Improve traceability and metadata management so data can be understood, trusted, and reused across teams

As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. Your work will span dynamic pricing, demand forecasting and data‑driven buying...

• You work in a young team using state-of-the-art tools on the AP Sensing Edge Platform for Distributed Acoustic Sensing.
• You support the design and implementation of a quality assurance strategy for Rust-based systems, with a focus on performance, functional correctness, and system resilience.

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

• Develop embedded software for medical devices, ranging from low-level drivers to higher-level functionalities and embedded UI
• Take technical ownership of features and contribute to architecture, design, implementation, and testing

Own SEO data pipelines end-to-end. Design, build, and maintain automated pipelines that power all SEO analytics, from ingestion through transformation to dashboarding....

• Degree in Business Informatics or Business Administration with IT focus, or equivalent IT training with additional qualifications
• Extensive experience of personnel management with proven leadership and mentoring skills alongside an independent, careful, and goal-oriented approach to work

• Build and operate the highly-available, scalable microservices that form the backbone of the SAP Business Technology Platform.
• Architect and implement the central API gateway, handling massive-scale traffic, security policies, and observability for all of SAP's cloud products.

assess the applicability of our system dynamics simulation toolbox to mechanical systems which are not yet in scope of the current toolbox development...

• WinningTeam – You are part of a highly skilled and motivated project team and you are eager to contribute to the project success
• GettingToKnow about the Zone Architecture
• LearningAbout different Testing tools used in Automotive

You understand our platform architecture, existing systems and tech stack (C#/.NET, MongoDB, Docker, Kubernetes, GCP/Azure) deeply enough to independently plan and ship features....