workidentity GmbH
Cloud & Data Engineer(m/w/x)
Vollzeitmit HomeofficeSenior
Hamburg, Bremen
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
VAVattenfall
Cloud Data Ops Engineer (senior-level)(m/w/x)
Hamburg
Vollzeitmit HomeofficeBerufserfahren
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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)
Aufgaben
- 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
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Microsoft Azure
- Git
- Kubernetes
- Python
- Bash
- Terraform
- Grafana
- Prometheus
- Azure monitor
- SQL
- Matillion
- Airflow
Benefits
Sinnstiftende Arbeit
- Self-responsibility
Weiterbildungsangebote
- Expertise expansion opportunities
Sonstige Vorteile
- 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)
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Vattenfall erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- Simon-Kucher
Senior Manager – Data Engineering(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München - Sogeti
Senior Cloud Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorRatingen, München, Hamburg, Stuttgart, Frankfurt am Main - E.ON Digital Technology GmbH
(Senior) Data Engineer Data & AI(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorEssen, Hannover, München, Berlin, Hamburg, Frankfurt am Main - workidentity GmbH
Cloud & Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenHamburg
VAVattenfall
Cloud Data Ops Engineer (senior-level)(m/w/x)
Hamburg
Vollzeitmit HomeofficeBerufserfahren
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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)
Aufgaben
- 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
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Microsoft Azure
- Git
- Kubernetes
- Python
- Bash
- Terraform
- Grafana
- Prometheus
- Azure monitor
- SQL
- Matillion
- Airflow
Benefits
Sinnstiftende Arbeit
- Self-responsibility
Weiterbildungsangebote
- Expertise expansion opportunities
Sonstige Vorteile
- 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)
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Vattenfall erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Vattenfall
Branche
EnergyAutomation
Beschreibung
Das Unternehmen bietet vernetzte Energiekomplettlösungen und treibt die Energiewende in Nordrhein-Westfalen voran.
Noch nicht perfekt?
- workidentity GmbH
Cloud & Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorHamburg, Bremen - Simon-Kucher
Senior Manager – Data Engineering(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München - Sogeti
Senior Cloud Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorRatingen, München, Hamburg, Stuttgart, Frankfurt am Main - E.ON Digital Technology GmbH
(Senior) Data Engineer Data & AI(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorEssen, Hannover, München, Berlin, Hamburg, Frankfurt am Main - workidentity GmbH
Cloud & Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenHamburg