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Data Cloud Engineer (m/f/d) – International Analytics Platform
Távmunka / Remote
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Cafeteria
- Teljes munkaidő
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1-3 év tapasztalat • Angol középfok
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CLOUD • ANALYTICS • AZURE • TESTING • SECURITY • NETWORK • DNS • GIT • AWS • DEVOPS • SPARK • SQL • BI • CI • POWER BI
Főbb feladatok- You technically own and evolve our international analytics platform, driving a fully automated GitOps-style Infrastructure-as-Code (IaC) setup with Terraform on Azure
- You build reusable Terraform modules and manage remote state, versioning, and promotion across environments
December 04. -
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- Teljes munkaidő
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1-3 év tapasztalat • Angol középfok • Német középfok
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CLOUD • ANALYTICS • SAP • SECURITY • TESTING • @SAP. • DATA MANAGEMENT
Főbb feladatok- Holistic support for SAP implementation, digital transformation and cloud transition projects
- Creation of business process design, architecture, scalability, security, and operations concepts for SAP solutions
- Knowledge transfer as part of training and project support from customers and partners
November 26. -
- Teljes munkaidő
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1-3 év tapasztalat • Angol középfok
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CLOUD • DEVOPS • SAP • SECURITY • AWS • DOCKER • ANSIBLE • API • POWERSHELL • PYTHON • DATABASE • @SAP. • SERVICE MANAGEMENT • JENKINS
Főbb feladatokWe are looking for an Expert DevOps Engineer (f/m/d) within the Sovereign Cloud Delivery & Operations team in the Customer Services & Delivery board area, focused on the Sovereign Cloud deployment of SAP SuccessFactors (HCM). In this role, you will join the Multi-Tenant Engineering team: We own,...
November 28. -
Backend Developer (f/m/x) Data & Database
Hibrid • Hamburg
- Teljes munkaidő
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1-3 év tapasztalat • Angol középfok
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BACKEND • DATABASE • DATABASES • ANALYTICS • SECURITY • SQL • NOSQL • POSTGRESQL • MONGODB • CLOUD • AWS • PYTHON • DEVOPS • DOCKER • TESTING • HARDWARE
Főbb feladatok- Design, optimize, and maintain high-performance databases, data pipelines, and APIs for suena's energy trading and analytics platform.
- Model complex time-series data, enable robust integrations with modelling and data science teams, and ensure data reliability and scalability.
November 18.
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