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Senior Manager – Data Engineering(m/w/x)
Data engineering for global consultancy clients, building automated data flows and visualizations from complex datasets. Proven success deploying production-grade data and AI/ML solutions required. Daycare allowance.
Anforderungen
- At least 6 years of relevant industry experience
- Proven success in deploying production-grade data and AI/ML solutions
- Deep knowledge of cloud platforms (AWS, Azure, or GCP)
- Strong expertise in DevOps, including CI/CD pipelines
- Hands-on experience building, deploying, and scaling high-availability environments
- Demonstrated ability to implement robust monitoring, logging, and security practices
- Track record of optimizing system performance and reliability
- Excellent communication skills to convey technical concepts
- Proven leadership in managing teams through complex projects
- A standout university degree in a relevant field
Aufgaben
- Ensure stakeholders have access to complete and relevant data
- Transform complex datasets into structured, actionable outputs
- Deliver automated, reliable data flows for operational efficiency
- Present technical concepts to both technical and non-technical stakeholders
- Create clear visualizations that translate technical analysis into business insights
- Design and implement end-to-end data architectures on AWS, Azure, or GCP
- Collaborate with data science and engineering teams to optimize data pipelines
- Establish data management best practices for compliance and security
- Architect and maintain scalable cloud environments for AI applications
- Define cloud stack design focusing on availability, security, and cost-efficiency
- Advise on implementing infrastructure as code principles using Terraform or CloudFormation
- Design and manage CI/CD pipelines for AI/ML model deployment
- Orchestrate containerized environments for efficient application delivery
- Establish MLOps best practices, including model monitoring and automated retraining
Berufserfahrung
- 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- AWS
- Azure
- GCP
- Docker
- Kubernetes
- Terraform
- CloudFormation
Benefits
Flexibles Arbeiten
- Hybrid working
Kinderbetreuung
- Daycare allowance
Mitarbeiterrabatte
- Corporate discounts
Mentale Gesundheitsförderung
- Wellbeing support
Snacks & Getränke
- Healthy snacks and beverages
Team Events & Ausflüge
- Employee events
Noch nicht perfekt?
- Axel Springer News Media NationalVollzeit/Teilzeitmit HomeofficeBerufserfahrenBerlin
- 4flow SE
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Senior Manager – Data Engineering(m/w/x)
Data engineering for global consultancy clients, building automated data flows and visualizations from complex datasets. Proven success deploying production-grade data and AI/ML solutions required. Daycare allowance.
Anforderungen
- At least 6 years of relevant industry experience
- Proven success in deploying production-grade data and AI/ML solutions
- Deep knowledge of cloud platforms (AWS, Azure, or GCP)
- Strong expertise in DevOps, including CI/CD pipelines
- Hands-on experience building, deploying, and scaling high-availability environments
- Demonstrated ability to implement robust monitoring, logging, and security practices
- Track record of optimizing system performance and reliability
- Excellent communication skills to convey technical concepts
- Proven leadership in managing teams through complex projects
- A standout university degree in a relevant field
Aufgaben
- Ensure stakeholders have access to complete and relevant data
- Transform complex datasets into structured, actionable outputs
- Deliver automated, reliable data flows for operational efficiency
- Present technical concepts to both technical and non-technical stakeholders
- Create clear visualizations that translate technical analysis into business insights
- Design and implement end-to-end data architectures on AWS, Azure, or GCP
- Collaborate with data science and engineering teams to optimize data pipelines
- Establish data management best practices for compliance and security
- Architect and maintain scalable cloud environments for AI applications
- Define cloud stack design focusing on availability, security, and cost-efficiency
- Advise on implementing infrastructure as code principles using Terraform or CloudFormation
- Design and manage CI/CD pipelines for AI/ML model deployment
- Orchestrate containerized environments for efficient application delivery
- Establish MLOps best practices, including model monitoring and automated retraining
Berufserfahrung
- 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- AWS
- Azure
- GCP
- Docker
- Kubernetes
- Terraform
- CloudFormation
Benefits
Flexibles Arbeiten
- Hybrid working
Kinderbetreuung
- Daycare allowance
Mitarbeiterrabatte
- Corporate discounts
Mentale Gesundheitsförderung
- Wellbeing support
Snacks & Getränke
- Healthy snacks and beverages
Team Events & Ausflüge
- Employee events
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?
- Axel Springer News Media National
Data Engineering Manager(m/w/x)
Vollzeit/Teilzeitmit HomeofficeBerufserfahrenBerlin - 4flow SE
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - DeepL
Senior Staff Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - dda diconium data GmbH
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeManagementBerlin - Awin
Data Engineering Manager(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Hannover, München