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Cloud Data Ops Engineer (senior-level)(m/w/x)
Designing, implementing, and maintaining scalable data pipelines in Azure for energy sector. Three years hands-on data solution experience required. Expertise expansion opportunities, self-responsibility.
Requirements
- Proactive, self-driven team player with excellent communication skills
- Broad interest across all technical domains
- At least three years hands-on experience in designing, implementing, and maintaining scalable data solutions
- Lead development and maintenance of DevOps build and release pipelines
- Sound practical experience with cloud infrastructure troubleshooting
- Understanding of networking components
- Good hands-on experience with application containerization into Kubernetes
- Managing Kubernetes namespaces and containers
- Experience managing VM infrastructure
- Comfortable maintaining, patching and configuring Linux servers
- Comfortable maintaining, patching and configuring Windows servers
- Proficiency with Python scripting language
- Proficiency with Bash scripting language
- Proficiency with Linux
- Knowledge of Powershell (merit)
- Experience with infrastructure provisioning using Infrastructure-as-Code tools
- Experience with deployment using Infrastructure-as-Code tools
- University degree in Business and Information Technology
- University degree in Engineering
- University degree in other related fields
- Experience implementing observability best practices
- Experience with logging using tools like Grafana, Prometheus, or Azure monitor
- Experience with monitoring using tools like Grafana, Prometheus, or Azure monitor
- Experience with alerting using tools like Grafana, Prometheus, or Azure monitor
- Hands-on experience with SQL based data modelling (ease transition)
- Previous experience with data orchestration tools (simplify onboarding)
Tasks
- Lead DevOps operations and development for the Data Warehouse product
- Design, implement, and maintain scalable data pipelines in Azure
- Implement and maintain automated data pipelines in Azure
- Manage and develop CI/CD workflows and associated tools
- Monitor data infrastructure performance
- Proactively troubleshoot data infrastructure issues
- Develop security and business continuity best practices
- Collaborate with central IT and security teams
- Mitigate and resolve incidents with IT, vendors, and DevOps experts
- Plan and perform software updates
- Facilitate knowledge exchange with IT, vendors, and DevOps experts
- Improve user experience with architects and data engineers
- Drive automation with architects and data engineers
- Apply state-of-the-art technologies with architects and data engineers
- Design new use cases from data source to report layer
- Implement new use cases from data source to report layer
- Ensure continuous operation of the data warehouse
- Ensure daily processes run smoothly
- Ensure data is readily accessible for all users
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Fluent
Tools & Technologies
- Microsoft Azure
- Git
- Kubernetes
- Python
- Bash
- Terraform
- Grafana
- Prometheus
- Azure monitor
- SQL
- Matillion
- Airflow
Benefits
Purpose-Driven Work
- Self-responsibility
Learning & Development
- Expertise expansion opportunities
Other Benefits
- Diversity and inclusion focus
- Equal opportunities and rights
- Pre-employment screening
- Certificate of good conduct (for certain positions)
- Security vetting process (for security-classed positions)
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Cloud Data Ops Engineer (senior-level)(m/w/x)
Designing, implementing, and maintaining scalable data pipelines in Azure for energy sector. Three years hands-on data solution experience required. Expertise expansion opportunities, self-responsibility.
Requirements
- Proactive, self-driven team player with excellent communication skills
- Broad interest across all technical domains
- At least three years hands-on experience in designing, implementing, and maintaining scalable data solutions
- Lead development and maintenance of DevOps build and release pipelines
- Sound practical experience with cloud infrastructure troubleshooting
- Understanding of networking components
- Good hands-on experience with application containerization into Kubernetes
- Managing Kubernetes namespaces and containers
- Experience managing VM infrastructure
- Comfortable maintaining, patching and configuring Linux servers
- Comfortable maintaining, patching and configuring Windows servers
- Proficiency with Python scripting language
- Proficiency with Bash scripting language
- Proficiency with Linux
- Knowledge of Powershell (merit)
- Experience with infrastructure provisioning using Infrastructure-as-Code tools
- Experience with deployment using Infrastructure-as-Code tools
- University degree in Business and Information Technology
- University degree in Engineering
- University degree in other related fields
- Experience implementing observability best practices
- Experience with logging using tools like Grafana, Prometheus, or Azure monitor
- Experience with monitoring using tools like Grafana, Prometheus, or Azure monitor
- Experience with alerting using tools like Grafana, Prometheus, or Azure monitor
- Hands-on experience with SQL based data modelling (ease transition)
- Previous experience with data orchestration tools (simplify onboarding)
Tasks
- Lead DevOps operations and development for the Data Warehouse product
- Design, implement, and maintain scalable data pipelines in Azure
- Implement and maintain automated data pipelines in Azure
- Manage and develop CI/CD workflows and associated tools
- Monitor data infrastructure performance
- Proactively troubleshoot data infrastructure issues
- Develop security and business continuity best practices
- Collaborate with central IT and security teams
- Mitigate and resolve incidents with IT, vendors, and DevOps experts
- Plan and perform software updates
- Facilitate knowledge exchange with IT, vendors, and DevOps experts
- Improve user experience with architects and data engineers
- Drive automation with architects and data engineers
- Apply state-of-the-art technologies with architects and data engineers
- Design new use cases from data source to report layer
- Implement new use cases from data source to report layer
- Ensure continuous operation of the data warehouse
- Ensure daily processes run smoothly
- Ensure data is readily accessible for all users
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Fluent
Tools & Technologies
- Microsoft Azure
- Git
- Kubernetes
- Python
- Bash
- Terraform
- Grafana
- Prometheus
- Azure monitor
- SQL
- Matillion
- Airflow
Benefits
Purpose-Driven Work
- Self-responsibility
Learning & Development
- Expertise expansion opportunities
Other Benefits
- Diversity and inclusion focus
- Equal opportunities and rights
- Pre-employment screening
- Certificate of good conduct (for certain positions)
- Security vetting process (for security-classed positions)
About the Company
Vattenfall
Industry
EnergyAutomation
Description
Das Unternehmen bietet vernetzte Energiekomplettlösungen und treibt die Energiewende in Nordrhein-Westfalen voran.
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