Die KI-Suchmaschine für Jobs
Data Engineering Manager(m/w/x)
Beschreibung
You will lead a specialized engineering squad to scale the company's MLOps architecture, balancing technical strategy with the mentorship of your team to deliver high-impact logistics solutions.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Technical guidance and business goal alignment
- •Programming language agnostic with core paradigm understanding
- •Willingness to learn Data/ML on the job
- •Experience with GCP, AWS, or equivalent
- •Knowledge of Kubernetes
- •Experience leading and mentoring engineering teams
- •Experience managing cross-functional projects and stakeholders
- •Empowerment of others and team development
- •Familiarity with A/B testing
- •Ability to provide hands-on developer support
- •Experience with Data-science projects
- •Extensive experience in ML engineering or MLOps
- •Knowledge of the ML lifecycle and tools
Berufserfahrung
ca. 4 - 6 Jahre
Aufgaben
- •Lead a team of data and machine learning engineers
- •Design and maintain robust MLOps architecture
- •Support the team's daily development and career growth
- •Execute and develop functionalities in small, value-driven iterations
- •Manage stakeholders across the logistics vertical
- •Drive project and technical strategy across the domain
- •Enhance operational excellence and product delivery standards
- •Partner with product counterparts to provide technical direction
- •Facilitate the design of feasible and iterative solutions
- •Monitor and own team technical metrics and KPIs
- •Design reliable, cost-effective, and scalable technical solutions
- •Oversee the logistics machine learning platform
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Mehr Urlaubstage
- •27 days holiday
- •Increased holiday with service
Sonstige Zulagen
- •1.000 € Educational Budget
- •Digital Meal Vouchers
- •Food Vouchers
Weiterbildungsangebote
- •Language Courses
- •Udemy Business platform access
Familienfreundlichkeit
- •Parental Support
Gesundheits- & Fitnessangebote
- •Health Checkups
- •Gym & Bicycle Subsidy
Mentale Gesundheitsförderung
- •Meditation
Attraktive Vergütung
- •Employee Share Purchase Plan
Workation & Sabbatical
- •Sabbatical Bank
Öffi Tickets
- •Public Transportation Ticket Discount
Sonstige Vorteile
- •Life & Accident Insurance
- •Relocation support
- •Interview accessibility support
Betriebliche Altersvorsorge
- •Corporate Pension Plan
Mitarbeiterrabatte
- •Corporate Discounts
- Axel Springer News Media NationalVollzeit/Teilzeitmit HomeofficeBerufserfahrenBerlin
- Simon-Kucher
Senior Manager – Data Engineering(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München - Enpal B.V.
Senior MLOps Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Simon-Kucher
Manager Data Engineering(m/w/x)
Vollzeitmit HomeofficeManagementBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München - Delivery Hero
Senior Software Engineer (Machine Learning)(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin
Data Engineering Manager(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
You will lead a specialized engineering squad to scale the company's MLOps architecture, balancing technical strategy with the mentorship of your team to deliver high-impact logistics solutions.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Technical guidance and business goal alignment
- •Programming language agnostic with core paradigm understanding
- •Willingness to learn Data/ML on the job
- •Experience with GCP, AWS, or equivalent
- •Knowledge of Kubernetes
- •Experience leading and mentoring engineering teams
- •Experience managing cross-functional projects and stakeholders
- •Empowerment of others and team development
- •Familiarity with A/B testing
- •Ability to provide hands-on developer support
- •Experience with Data-science projects
- •Extensive experience in ML engineering or MLOps
- •Knowledge of the ML lifecycle and tools
Berufserfahrung
ca. 4 - 6 Jahre
Aufgaben
- •Lead a team of data and machine learning engineers
- •Design and maintain robust MLOps architecture
- •Support the team's daily development and career growth
- •Execute and develop functionalities in small, value-driven iterations
- •Manage stakeholders across the logistics vertical
- •Drive project and technical strategy across the domain
- •Enhance operational excellence and product delivery standards
- •Partner with product counterparts to provide technical direction
- •Facilitate the design of feasible and iterative solutions
- •Monitor and own team technical metrics and KPIs
- •Design reliable, cost-effective, and scalable technical solutions
- •Oversee the logistics machine learning platform
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Mehr Urlaubstage
- •27 days holiday
- •Increased holiday with service
Sonstige Zulagen
- •1.000 € Educational Budget
- •Digital Meal Vouchers
- •Food Vouchers
Weiterbildungsangebote
- •Language Courses
- •Udemy Business platform access
Familienfreundlichkeit
- •Parental Support
Gesundheits- & Fitnessangebote
- •Health Checkups
- •Gym & Bicycle Subsidy
Mentale Gesundheitsförderung
- •Meditation
Attraktive Vergütung
- •Employee Share Purchase Plan
Workation & Sabbatical
- •Sabbatical Bank
Öffi Tickets
- •Public Transportation Ticket Discount
Sonstige Vorteile
- •Life & Accident Insurance
- •Relocation support
- •Interview accessibility support
Betriebliche Altersvorsorge
- •Corporate Pension Plan
Mitarbeiterrabatte
- •Corporate Discounts
Über das Unternehmen
Delivery Hero
Branche
Logistics
Beschreibung
The company is a pioneering local delivery platform operating in over 70 countries, focused on delivering an amazing experience.
- Axel Springer News Media National
Data Engineering Manager(m/w/x)
Vollzeit/Teilzeitmit HomeofficeBerufserfahrenBerlin - Simon-Kucher
Senior Manager – Data Engineering(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München - Enpal B.V.
Senior MLOps Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Simon-Kucher
Manager Data Engineering(m/w/x)
Vollzeitmit HomeofficeManagementBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München - Delivery Hero
Senior Software Engineer (Machine Learning)(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin