dda diconium data GmbH
Principal Data Engineering & Data Architecture(m/w/x)
Full-timeWith HomeofficeManagement
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
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- AWS
- Azure
- GCP
- DevOps
- CI/CD pipelines
- Docker
- Kubernetes
- Terraform
- CloudFormation
- AI/ML
Benefits
Learning & Development
- Extensive training curriculum
- Learning programs
Mentorship & Coaching
- Holistic feedback and development processes
Workation & Sabbatical
- Opportunities to live and work abroad
Flexible Working
- Hybrid working
Childcare
- Daycare allowance
Corporate Discounts
- Corporate discounts
Mental Health Support
- Wellbeing support
Snacks & Drinks
- Healthy snacks and beverages
Team Events
- Frequent employee events
- World Meeting
- Holiday Party
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
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- AWS
- Azure
- GCP
- DevOps
- CI/CD pipelines
- Docker
- Kubernetes
- Terraform
- CloudFormation
- AI/ML
Benefits
Learning & Development
- Extensive training curriculum
- Learning programs
Mentorship & Coaching
- Holistic feedback and development processes
Workation & Sabbatical
- Opportunities to live and work abroad
Flexible Working
- Hybrid working
Childcare
- Daycare allowance
Corporate Discounts
- Corporate discounts
Mental Health Support
- Wellbeing support
Snacks & Drinks
- Healthy snacks and beverages
Team Events
- Frequent employee events
- World Meeting
- Holiday Party
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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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?
- dda diconium data GmbH
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Full-timeWith HomeofficeManagementBerlin - dda diconium data GmbH
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Full-timeWith HomeofficeSeniorBerlin - Deloitte GmbH Wirtschaftsprüfungsgesellschaft
Senior Consultant AI & Data Architecture(m/w/x)
Full-timeWith HomeofficeSeniorBerlin, Düsseldorf, Frankfurt am Main, Hamburg, Hannover, Köln, München, Stuttgart - Deloitte GmbH Wirtschaftsprüfungsgesellschaft
Senior Cloud (Data) Platform Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin, Düsseldorf, Frankfurt am Main, Hamburg, Hannover, Köln, München, Stuttgart