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Senior Manager – Data Engineering(m/w/x)
Building data platforms for commercial strategy consulting, enabling client decision-making. 6+ years industry experience and cloud platform expertise required. Opportunities to live and work abroad, hybrid working.
Anforderungen
- At least 6 years relevant industry experience
- Minimum 3 years consulting capacity experience
- Experience in cloud operations, data infrastructure, DevOps, or MLOps
- Proven success deploying production-grade data and AI/ML solutions
- Deep knowledge of cloud platforms (AWS, Azure, or GCP)
- Experience designing cloud-native architectures
- Strong expertise in DevOps
- CI/CD pipelines expertise
- Containerization (Docker, Kubernetes) expertise
- Infrastructure automation (Terraform, CloudFormation, or similar) expertise
- Hands-on experience building, deploying, scaling high-availability environments for AI/ML workloads
- Ability to implement robust monitoring, logging, security practices
- Track record optimizing system performance and reliability
- Proactive capacity planning
- Architectural enhancements for reliability
- Excellent communication skills
- Ability to convey technical concepts clearly
- Proven leadership in managing teams
- Encouraging collaboration and innovation
- University degree in a relevant field
- Fluency in business English
- Fluency in business German
Aufgaben
- Enable confident decision-making with tailored data access
- Accelerate insight generation from complex datasets
- Increase operational efficiency with automated data flows
- Present technical concepts to diverse stakeholders
- Elevate strategic conversations with intuitive visualizations
- Design end-to-end data architectures on AWS, Azure, or GCP
- Optimize data pipelines for AI/ML solutions
- Establish data management best practices
- Architect scalable cloud environments for AI/ML
- Define and drive cloud stack design for high availability
- Advise on infrastructure as code principles
- Design and manage CI/CD pipelines for AI/ML models
- Orchestrate containerized environments for application delivery
- Establish MLOps best practices
Berufserfahrung
- 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- AWS
- Azure
- GCP
- DevOps
- CI/CD pipelines
- Docker
- Kubernetes
- Terraform
- CloudFormation
- AI/ML
Benefits
Weiterbildungsangebote
- Extensive training curriculum
- Learning programs
Mentoring & Coaching
- Holistic feedback and development processes
Workation & Sabbatical
- Opportunities to live and work abroad
Flexibles Arbeiten
- Hybrid working
Kinderbetreuung
- Daycare allowance
Mitarbeiterrabatte
- Corporate discounts
Mentale Gesundheitsförderung
- Wellbeing support
Snacks & Getränke
- Healthy snacks and beverages
Team Events & Ausflüge
- Frequent employee events
- World Meeting
- Holiday Party
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Senior Manager – Data Engineering(m/w/x)
Building data platforms for commercial strategy consulting, enabling client decision-making. 6+ years industry experience and cloud platform expertise required. Opportunities to live and work abroad, hybrid working.
Anforderungen
- At least 6 years relevant industry experience
- Minimum 3 years consulting capacity experience
- Experience in cloud operations, data infrastructure, DevOps, or MLOps
- Proven success deploying production-grade data and AI/ML solutions
- Deep knowledge of cloud platforms (AWS, Azure, or GCP)
- Experience designing cloud-native architectures
- Strong expertise in DevOps
- CI/CD pipelines expertise
- Containerization (Docker, Kubernetes) expertise
- Infrastructure automation (Terraform, CloudFormation, or similar) expertise
- Hands-on experience building, deploying, scaling high-availability environments for AI/ML workloads
- Ability to implement robust monitoring, logging, security practices
- Track record optimizing system performance and reliability
- Proactive capacity planning
- Architectural enhancements for reliability
- Excellent communication skills
- Ability to convey technical concepts clearly
- Proven leadership in managing teams
- Encouraging collaboration and innovation
- University degree in a relevant field
- Fluency in business English
- Fluency in business German
Aufgaben
- Enable confident decision-making with tailored data access
- Accelerate insight generation from complex datasets
- Increase operational efficiency with automated data flows
- Present technical concepts to diverse stakeholders
- Elevate strategic conversations with intuitive visualizations
- Design end-to-end data architectures on AWS, Azure, or GCP
- Optimize data pipelines for AI/ML solutions
- Establish data management best practices
- Architect scalable cloud environments for AI/ML
- Define and drive cloud stack design for high availability
- Advise on infrastructure as code principles
- Design and manage CI/CD pipelines for AI/ML models
- Orchestrate containerized environments for application delivery
- Establish MLOps best practices
Berufserfahrung
- 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- AWS
- Azure
- GCP
- DevOps
- CI/CD pipelines
- Docker
- Kubernetes
- Terraform
- CloudFormation
- AI/ML
Benefits
Weiterbildungsangebote
- Extensive training curriculum
- Learning programs
Mentoring & Coaching
- Holistic feedback and development processes
Workation & Sabbatical
- Opportunities to live and work abroad
Flexibles Arbeiten
- Hybrid working
Kinderbetreuung
- Daycare allowance
Mitarbeiterrabatte
- Corporate discounts
Mentale Gesundheitsförderung
- Wellbeing support
Snacks & Getränke
- Healthy snacks and beverages
Team Events & Ausflüge
- Frequent employee events
- World Meeting
- Holiday Party
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Simon-Kucher
Branche
Consulting
Beschreibung
Das Unternehmen ist eine globale Unternehmensberatung, die Kunden bei der Optimierung ihrer Unternehmensstrategie unterstützt.
Noch nicht perfekt?
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