Implementation Engineer (m/w/d)

Data Analytics Engineer (m/w/d)

Woodmark Consulting

WE MAKE THE WORLD BETTER WITH DATA Woodmark Consulting GmbH is one of Germany’s leading IT consulting firms specializing in AI, data, and analytics. We inspire people through our passion for data and innovation. Living our values of respect, openness, trust, and care fosters an excellent corporate culture and forms the foundation of our success. DEINE BUNTE AUFGABENPALETTE * Visualizing requirements: Based on customer requirements, you will create and maintain analytical data models and dashboards to ensure they meet the latest business needs. * Ensuring data integrity and quality: To ensure high-performance use of reports and dashboards, you will create modular data models that simultaneously ensure data integrity and quality. * DevOps is practiced throughout: As part of a DevOps team, you will independently develop data sources and data pipelines to ensure effective data provision for use cases and their implementation. * Communication is key: You’ll be in constant, close contact with your clients to ensure professional expectation management and client satisfaction, your project team to ensure project success, and, of course, the Woodmark team to foster knowledge sharing and mutual support. DAS HAST DU AUF LAGER Project experience: You have at least two years of experience in developing data sources and pipelines, data modeling and analysis, data visualization, and reporting. Expertise is a given: You are comfortable with  * using data analysis tools such as Tableau, AWS QuickSight, KNIME, AWS Glue * implementing analytical data models, e.g., in Data Vault 2.0 using native SQL, dbt Core, or Python * applying data protection and security policies and adhering to best practices in this area * working with different data structures (relational, JSON, XML) and their storage formats in layered models (3NF, Data Vault, Star Schema) and possesses an advanced understanding of * working with various data sources and types, including unstructured data   Stakeholder-oriented thinking moves us forward: You are experienced in collaborating with stakeholders at various levels. Support the Making-of-a-Star: You enjoy using your experience to support other Woodmarkers, because we love diversity and you make a difference. Fluent in English: You’re comfortable with the English language and English documentation, and you can follow along when English is spoken during project work.

Data Analytics Engineer (m/w/d)

Woodmark Consulting

WE MAKE THE WORLD BETTER WITH DATA Woodmark Consulting GmbH is one of Germany’s leading IT consulting firms specializing in AI, data, and analytics. We inspire people through our passion for data and innovation. Living our values of respect, openness, trust, and care fosters an excellent corporate culture and forms the foundation of our success. DEINE BUNTE AUFGABENPALETTE * Visualizing requirements: Based on customer requirements, you will create and maintain analytical data models and dashboards to ensure they meet the latest business needs. * Ensuring data integrity and quality: To ensure high-performance use of reports and dashboards, you will create modular data models that simultaneously ensure data integrity and quality. * DevOps is practiced throughout: As part of a DevOps team, you will independently develop data sources and data pipelines to ensure effective data provision for use cases and their implementation. * Communication is key: You’ll be in constant, close contact with your clients to ensure professional expectation management and client satisfaction, your project team to ensure project success, and, of course, the Woodmark team to foster knowledge sharing and mutual support. DAS HAST DU AUF LAGER Project experience: You have at least two years of experience in developing data sources and pipelines, data modeling and analysis, data visualization, and reporting. Expertise is a given: You are comfortable with  * using data analysis tools such as Tableau, AWS QuickSight, KNIME, AWS Glue * implementing analytical data models, e.g., in Data Vault 2.0 using native SQL, dbt Core, or Python * applying data protection and security policies and adhering to best practices in this area * working with different data structures (relational, JSON, XML) and their storage formats in layered models (3NF, Data Vault, Star Schema) and possesses an advanced understanding of * working with various data sources and types, including unstructured data   Stakeholder-oriented thinking moves us forward: You are experienced in collaborating with stakeholders at various levels. Support the Making-of-a-Star: You enjoy using your experience to support other Woodmarkers, because we love diversity and you make a difference. Fluent in English: You’re comfortable with the English language and English documentation, and you can follow along when English is spoken during project work.

DevOps Engineer (Vollzeit) (m/w/d)

Mobilistics

IHRE AUFGABEN Infrastructure as Code & Plattform Engineering * Design und Implementierung von Kubernetes-Clustern mit Talos Linux * Management der Proxmox-Virtualisierungsumgebung * Entwicklung und Wartung von Infrastructure-as-Code mit Ansible * Optimierung der Cluster-Architektur und Automatisierung von Deployments Container-Orchestrierung & Cloud Native * Implementation von Kubernetes-Deployments und Service-Architekturen * Konfiguration und Wartung von Kubernetes-Operators * Integration von Cloud-Native Tools und Services * Monitoring und Logging der Cluster-Infrastruktur Automatisierung & CI/CD * Entwicklung und Optimierung von CI/CD-Pipelines (GitLab CI) * Implementierung von automatisierten Backup- und Recovery-Strategien * Erstellung von Monitoring- und Alerting-Lösungen * Automation von wiederkehrenden Systemadministrations-Aufgaben Security & Compliance * Implementation von Security-Best-Practices für Kubernetes * Härtung der Linux-Systeme nach aktuellen Standards * Verwaltung von Secrets und Zugriffsrechten * Regelmäßige Security-Audits und Updates IHR PROFIL Technische Expertise * Fundierte Erfahrung mit Kubernetes und Container-Technologien * Tiefgreifende Linux-Systemadministration (insbesondere Ubuntu) * Praktische Erfahrung mit Proxmox oder vergleichbaren Virtualisierungslösungen * Kenntnisse in Infrastructure as Code (Ansible) DevOps & Automatisierung * Erfahrung mit CI/CD-Pipelines und GitOps-Workflows * Verständnis für Monitoring, Logging und Observability * Shell-Scripting und Automatisierungskenntnisse * Erfahrung mit Versionskontrolle (Git) Soft Skills * Ausgeprägte Problemlösungskompetenz * Teamorientierte Arbeitsweise * Eigeninitiative und kontinuierliche Lernbereitschaft * Gute Kommunikationsfähigkeiten Formale Voraussetzungen * Wohnsitz in Deutschland Wir suchen Menschen, die Freude an der Gestaltung moderner Infrastrukturen haben und sich für Cloud-Native-Technologien begeistern. Wenn du nicht alle technischen Anforderungen erfüllst, aber hochmotiviert bist dich weiterzuentwickeln, freuen wir uns trotzdem auf deine Bewerbung! WARUM WIR? Technologie & Entwicklung * Modernste Cloud-Native-Technologien * Budget für Weiterbildungen und Zertifizierungen * Teilnahme an Fachkonferenzen (KubeCon, Cloud Native Con) * Experimentierfreudiges Umfeld für neue Technologien Flexible Arbeitsbedingungen * 100% Remote-Arbeit möglich * Flexible Arbeitszeiten * Regelmäßige Team-Events * Modern ausgestatteter Arbeitsplatz Benefits * Jobrad oder Jobticket * Internet-Kostenzuschuss * Betriebliche Altersvorsorge