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• Implementation of technical solutions based on engineering business partner requirements using Python and CIM Database Product Lifecycle Management System
• Work in GIT lab CI/CD environment with Pycharm and JetBrain AI
• Development of add-ons and interfaces to automate and optimize business processes

• Work directly with customers providing expertise on Veeva’s applications and platform
• Configure Veeva software under the guidance of experienced architects and project leads

Group Senior Manager Quality Applications Become part of a vital chain and contribute to our common goal of making people’s lives better. Headquartered in Lachen, Switzerland, Octapharma is one of the largest human protein manufacturers in the world, developing and producing medicines sourced from...

• Implementation of new features within the Veeva Quality suite at Life Sciences companies
• Solutioning and configuration of Vault applications to meet customer needs including workflows, document types, security, fields, page layouts, notifications

• ServiceNow megoldások tervezése megfelelve üzleti, funkcionális és megfelelőségi követelményeknek
• Szoros együttműködés a Scrum csapattal backlog elemek átdolgozása, követelmények tisztázása és pontos becslések készítése érdekében

• 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

• 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

• 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

• 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...

• Providing technical expertise on Veeva’s applications, Vault Platform, APIs, and Java SDK
• Developing custom code and configuring Veeva software
• Contributing to solution design under guidance of experienced technical and migration architects
• Supporting content and data migration

• Support our customers on their transformation to SAP S/4HANA / Intelligent Enterprise.
• Delivery of remote and onsite services together with our experts for global customers with focus on system optimization, conceptual planning as well as empowering the customers with newest best practice knowledge.

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...

Drive the Cloud Infrastructure Security function roadmap in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• 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.

• You translate CGM's business strategy for your assigned units into a clear, value-driven IT demand and project roadmap.
• You are the primary contact for business leaders on all IT topics, capturing requirements, pain points, and opportunities in a structured way.

• 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

Responsibility for our knowledge management system, from selection and configuration through rollout and sustainable adoption in the relevant teams...

Plan and manage change and enablement initiatives to effectively drive the transformation of support, service delivery, and IT operations teams across the organization...

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