Axel Springer News Media National
Data Engineering Manager(m/w/x)
Full-time/Part-timeWith HomeofficeExperienced
Berlin
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SISimon-Kucher
Senior Manager – Data Engineering(m/w/x)
Berlin, Bonn, Köln, Frankfurt am Main, Hamburg, München
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- AWS
- Azure
- GCP
- Docker
- Kubernetes
- Terraform
- CloudFormation
Benefits
Flexible Working
- Hybrid working
Childcare
- Daycare allowance
Corporate Discounts
- Corporate discounts
Mental Health Support
- Wellbeing support
Snacks & Drinks
- Healthy snacks and beverages
Team Events
- Employee events
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Simon-Kucher and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SISimon-Kucher
Senior Manager – Data Engineering(m/w/x)
Berlin, Bonn, Köln, Frankfurt am Main, Hamburg, München
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- AWS
- Azure
- GCP
- Docker
- Kubernetes
- Terraform
- CloudFormation
Benefits
Flexible Working
- Hybrid working
Childcare
- Daycare allowance
Corporate Discounts
- Corporate discounts
Mental Health Support
- Wellbeing support
Snacks & Drinks
- Healthy snacks and beverages
Team Events
- Employee events
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Simon-Kucher and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Simon-Kucher
Industry
Consulting
Description
Das Unternehmen ist eine globale Unternehmensberatung, die Kunden bei der Optimierung ihrer Unternehmensstrategie unterstützt.
Not a perfect match?
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