Simon-Kucher
Senior Manager – Data Engineering(m/w/x)
Full-timeWith HomeofficeSenior
Berlin, Bonn, Köln, Frankfurt am Main, Hamburg, München
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KIKI group GmbH
Engineering Manager – Data & AI(m/w/x)
Köln, München
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Architectural design of human-in-the-loop AI systems and cloud-native data platforms for enterprise clients. Senior-level expertise in system thinking and end-to-end cloud data architectures required. Full technical decision authority and end-to-end system ownership.
Requirements
- Senior engineering profile with system thinking
- Experience in Data, Cloud, or AI
- Outcome-oriented mindset and responsibility
- Background in cloud-native data architectures
- Ability to design end-to-end systems
- Confidence in communicating technical trade-offs
- Ability to lead senior engineers
- Excellent communication and facilitation skills
- Comfort representing and defending technical decisions
- Fluency in English and German
- Willingness to travel up to 30%
Tasks
- Design and own complex Data and AI systems
- Define architectural guardrails and technical standards
- Manage failure modes and fallback strategies
- Implement human-in-the-loop concepts for AI systems
- Ensure coherent and operable end-to-end systems
- Own technical feasibility and implementation quality
- Deliver measurable business impact for clients
- Make engineering decisions under organizational uncertainty
- Ensure stable operations and sustained customer value
- Contribute to system design and agent protocols
- Prioritize the engineering backlog with senior engineers
- Translate business goals into technical user stories
- Steer implementation based on risk and impact
- Maintain hands-on involvement in technical projects
- Lead and mentor senior engineering teams
- Foster a culture of technical excellence
- Shape career paths and performance development
- Recruit and grow top-tier engineering talent
- Model technical responsibility and clear decision-making
- Improve existing frameworks and architectural templates
- Drive reusable system and architecture patterns
- Scale and productize Data and AI offerings
- Manage go-live readiness and stabilization phases
- Transition systems into sustainable operations
- Align with architects on security and monitoring
- Determine production readiness based on quality criteria
- Act as technical owner for customer accounts
- Shape solution concepts for pre-sales activities
- Estimate effort and evaluate technical risks
- Build long-term client relationships and manage expectations
- Represent the company as a technical authority
Work Experience
approx. 4 - 6 years
Education
Bachelor's degreeORMaster's degree
Languages
English – Business FluentGerman – Business Fluent
Tools & Technologies
Microsoft AzureDatabricks
Benefits
Startup Environment
- •Technical decision authority
- •Ownership-driven culture
Purpose-Driven Work
- •End-to-end responsibility
Other Benefits
- •Technical excellence culture
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of KI group GmbH 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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KIKI group GmbH
Engineering Manager – Data & AI(m/w/x)
Köln, München
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Architectural design of human-in-the-loop AI systems and cloud-native data platforms for enterprise clients. Senior-level expertise in system thinking and end-to-end cloud data architectures required. Full technical decision authority and end-to-end system ownership.
Requirements
- Senior engineering profile with system thinking
- Experience in Data, Cloud, or AI
- Outcome-oriented mindset and responsibility
- Background in cloud-native data architectures
- Ability to design end-to-end systems
- Confidence in communicating technical trade-offs
- Ability to lead senior engineers
- Excellent communication and facilitation skills
- Comfort representing and defending technical decisions
- Fluency in English and German
- Willingness to travel up to 30%
Tasks
- Design and own complex Data and AI systems
- Define architectural guardrails and technical standards
- Manage failure modes and fallback strategies
- Implement human-in-the-loop concepts for AI systems
- Ensure coherent and operable end-to-end systems
- Own technical feasibility and implementation quality
- Deliver measurable business impact for clients
- Make engineering decisions under organizational uncertainty
- Ensure stable operations and sustained customer value
- Contribute to system design and agent protocols
- Prioritize the engineering backlog with senior engineers
- Translate business goals into technical user stories
- Steer implementation based on risk and impact
- Maintain hands-on involvement in technical projects
- Lead and mentor senior engineering teams
- Foster a culture of technical excellence
- Shape career paths and performance development
- Recruit and grow top-tier engineering talent
- Model technical responsibility and clear decision-making
- Improve existing frameworks and architectural templates
- Drive reusable system and architecture patterns
- Scale and productize Data and AI offerings
- Manage go-live readiness and stabilization phases
- Transition systems into sustainable operations
- Align with architects on security and monitoring
- Determine production readiness based on quality criteria
- Act as technical owner for customer accounts
- Shape solution concepts for pre-sales activities
- Estimate effort and evaluate technical risks
- Build long-term client relationships and manage expectations
- Represent the company as a technical authority
Work Experience
approx. 4 - 6 years
Education
Bachelor's degreeORMaster's degree
Languages
English – Business FluentGerman – Business Fluent
Tools & Technologies
Microsoft AzureDatabricks
Benefits
Startup Environment
- •Technical decision authority
- •Ownership-driven culture
Purpose-Driven Work
- •End-to-end responsibility
Other Benefits
- •Technical excellence culture
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of KI group GmbH 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
KI group GmbH
Industry
IT
Description
Das Unternehmen transformiert die Art und Weise, wie Unternehmen mit Daten arbeiten, und schafft messbaren Mehrwert durch KI-gestützte Lösungen.
Not a perfect match?
- Simon-Kucher
Senior Manager – Data Engineering(m/w/x)
Full-timeWith HomeofficeSeniorBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München - Deloitte
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Full-timeWith HomeofficeSeniorKöln, München - Capgemini
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