Transform data into reusable analytics assets - datasets, reports, pipelines and notebooks in the curated layer of the Lakehouse and Data Warehouse in Microsoft Fabric.
Conduct deep-dive analytics based on business priorities and identify improvement opportunities.
Build data pipelines and manage data migration projects.
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In the Cluster Delivery Organization, Business Specialists, Business Experts, Engineer Specialists, Engineers, and Product Owners work together in a team. Agile methods help employees perform their functions by enabling a fast and flexible response to changing conditions and customer needs through an iterative approach and continuous development of new solutions.
This approach aims at better products, higher quality, more efficient processes and faster implementation. This will ensure that valuable functionalities are delivered to the customer and that existing products, processes and services are further developed in a customer-oriented manner.
In order to achieve this, the employees work autonomously, independently and self-organized. For this purpose, team members are given responsibility for all processes and systems that are necessary for the responsible products, processes and services. Open communication between team members ensures regular and timely feedback. This enables the rapid detection and correction of errors, so-called "Fail Fast", enabling rapid response to changing conditions and customer needs through iterative action.
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In the Cluster Delivery Organization, Business Specialists, Business Experts, Engineer Specialists, Engineers, and Product Owners work together in a team. Agile methods help employees perform their functions by enabling a fast and flexible response to changing conditions and customer needs through an iterative approach and continuous development of new solutions.
This approach aims at better products, higher quality, more efficient processes and faster implementation. This will ensure that valuable functionalities are delivered to the customer and that existing products, processes and services are further developed in a customer-oriented manner.
In order to achieve this, the employees work autonomously, independently and self-organized. For this purpose, team members are given responsibility for all processes and systems that are necessary for the responsible products, processes and services. Open communication between team members ensures regular and timely feedback. This enables the rapid detection and correction of errors, so-called "Fail Fast", enabling rapid response to changing conditions and customer needs through iterative action.
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Design Client Solutions: Design viable client solutions by leveraging current product capabilities, removing technical inhibitors to sales opportunities, and creating technical proof points through technical accelerators such as demonstrations, POTs, POCs, Workshops, Solution Design, and MVPs.
Drive Customer Value: Drive customer value by activating entitlements, finding sponsors, conducting use-case workshops, and establishing measurable business outcomes with client sponsors and stakeholders.
Develop Success Plans: Develop a success plan that describes deployment roadmap(s), milestones, and outcomes with client sponsors and stakeholders, and deeply understand clients' main challenges to become a trusted guide for their modernization and adoption of IBM's technology portfolio.
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We are looking for a Senior Data Warehouse Engineer with strong expertise in data modelling to design, build, and scale modern cloud data platforms. This role focuses on delivering well-structured, high-performance data models that enable analytics, business intelligence, and AI use cases.
You will work closely with solution architects, tech leads, and business stakeholders to translate complex data requirements into scalable data warehouse designs. Beyond engineering, you will play a key role in establishing modelling standards, improving data quality, and guiding the team on best practices.
Drive BMS growth in the data center sector by engaging early with key consultants, EPCs, and owners, positioning JCI cooling solutions in design/specifications, and influencing hyperscaler regional teams to secure procurement and pre‑qualification.
Achieve assigned annual sales and gross margin targets
Prepare technical proposals, system designs, tenders and quotations
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Strategic Planning & Scheduling: Developing comprehensive project plans, defining project phases, and creating time-cycle charts for major activities.
Resource Allocation & Management: Managing budgets, personnel, and equipment to ensure optimal, cost-effective operations.
Monitoring & Control: Tracking project progress, comparing planned versus actual results, and identifying areas needing intervention to avoid delays.
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Safety Compliance: Implement the client's EHS Management System and ensure all services subcontractors comply with project-specific EHS management plans.
Risk Management: Regularly assess services-related activities for high-risk hazards. Support the preparation of Safe Work Method Statements (SWMS) for complex MEP tasks, such as HV energization and heavy plant lifting.
Hierarchy of Control: Foster an understanding of services requirements to ensure compliance with the hierarchy of control, managing permits for high-risk works and conducting daily task observations.
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SCHOTT’s openness to promote your further development is just as great as our additional benefits. Ranging from active health management via flexible working hours and hybrid work all the way to corporate pension plans: everything geared to suit your goals and needs. Discover a special corporate culture where everyone has the opportunity to develop their entire potential.
At SCHOTT, you can expect a unique corporate culture where we emphasize equity, diversity, and inclusion. We know: motivated and committed employees are the precondition for the success of our company.
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The Engineer, Clinical Data Management & Analysis, will focus on functional equivalents and device comparisons, which will play a vital role in conducting or reviewing preliminary research to define project scope and identify key product attributes that influence purchasing decisions, while ensuring our company's data accuracy and quality. In this position, you will be responsible for meticulously creating, reviewing, and organizing information into our databases and systems[JR1.1]. You'll be the bridge between various data sources and company databases, ensuring that all information is captured, formatted, and stored correctly so our clients can make informed decisions. You will contribute directly to the organization’s core data assets powering Staritas’s Global Supply Chain Solutions, ensuring high-quality, structured, and scalable intelligence.
Architect Scalable Networks: Lead the end-to-end design and deployment of "first-time-right" network solutions, specifically focusing on Spine-Leaf topologies and L2/L3 fabrics
Drive Technical Leadership: Act as a Solution Architect for large initiatives, managing resource estimation, dependencies, and risk mitigation across technical teams
Implement Network as Code: Modernize operations by developing and maintaining Arista AVD, Ansible, and CI/CD pipelines to ensure scalable, repeatable deployments
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