Data science állások, munkák it programozás, fejlesztés területen

• Design and implement automation of data platform
• Develop and maintain data platform infrastructure using Terraform
• Implement and manage CI/CD pipelines for automation of data and AI processes
• Automate provisioning, configuration, and monitoring of resources in AWS

• Collaboration with business stakeholders to gather, analyze, and document requirements within the Wholesale domain
• Translation of business needs into user stories and functional specifications
• Driving continuous improvement of Microsoft Dynamics 365 Sales CRM processes and functionalities

• Understanding and aligning with business needs
• Identifying related data requirements
• Participating in technical pre-sales activities including effort estimation and proposal creation
• Architecting and planning robust data models and modern data platforms

• Own the target picture, design, and continuous development of the global HR Data Architecture, embedded in the ZEISS Enterprise Vision
• Define how HR data is structured, integrated, and processed – with a focus on modular, integrated architectures, real-time analytics, and AI/ML readiness

• You design and implement a cloud-native, multi-tenant and secure asset monitoring platform for distributed fiber optic sensing solutions
• You build robust, secure and observable platform components, data models, interfaces and APIs

• Develop and Implement: Build and maintain platform solutions that improve the reliability, security, and scalability of our Database Platform infrastructure.
• Operational Excellence: Apply cloud infrastructure, networking, and CI/CD best practices to support our operational data storage solutions.

• Designing, implementing, testing, and optimizing reliable, efficient, and high-quality data pipelines
• Automating the extraction, loading and transformation of data from a wide variety of sources
• Developing solutions for the automated acquisition of data from source systems

• Act as the central data expert and Business Data Steward for the German Mortgages business.
• Analyse customer, product, portfolio, channel and risk data to provide insights, identify trends, detect anomalies and support business decision-making.

• Delivery of complex data engineering projects across industries
• Leading small delivery teams
• Management of customer relationships individually or with a Project Manager
• Support of pre-sales process
• Mentoring of junior engineers
• Contribution to hiring data talent

Work as part of an interdisciplinary development team to further develop our multi-beam electron microscope, the “ZEISS MultiSEM”—currently the world's fastest electron microscope—and thereby tap into new markets and applications...

Collaborate with the responsible assessors and certification/zulassung authorities (BSI) as well as with colleagues from software development and product management;...

Analysis of the data ecosystem: assessment of data systems, interfaces and data quality; evaluation of security / privacy and interoperability (data-level to user-level)...

• Ownership of assigned applications and associated IT processes across their lifecycle
• Primary IT point of contact between business users, business product owners, manufacturing sites, and IT functions for assigned systems and processes

• Designing, implementing, testing, and optimizing reliable, efficient, and high-quality data pipelines
• Automating the extraction, loading and transformation of data from a wide variety of sources
• Developing solutions for the automated acquisition of data from source systems

We are looking for an enthusiastic PhD student to join our Integrated Cancer Research Laboratory at the CECAD Research Center in Cologne. The position is part of a newly funded project that aims to build and design digital twins for patients with cancer. The project builds on one of the largest and...

• Design, development, and deployment of robust development tools and scalable infrastructure
• Stakeholder collaboration and translation of business requirements into technical specifications
• Automation and optimization of CI/CD pipelines
• Code review and testing for high-quality deployments

• Design enterprise Data & AI strategies that use Data & Generative AI to drive real business growth
• Translate complex business needs into clear AI solutions that deliver value
• Act as a trusted advisor to C-level leaders on AI adoption, regulations, and ROI

• Further development and configuration of continuous integration in Gitlab and python
• Commissioning of cloud infrastructure
• Data evaluation and creation of dashboards
• Implementation of AI agents

• Transformation of vague client ideas into concrete product scopes
• Definition of ideal team setup and project phases for new engagements
• Creation of realistic effort and time estimates for proposals
• Leadership of design portion of presales process

• Leading end-to-end IT software development and integration projects from planning to delivery
• Coordinating cross-functional teams and external partners for smooth execution
• Managing timelines, budgets, risks, and quality standards throughout the project lifecycle