The AI Job Search Engine
Data Engineering Manager(m/w/x)
Description
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Work Experience
approx. 4 - 6 years
Tasks
- •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 & Technologies
Languages
English – Business Fluent
Benefits
More Vacation Days
- •27 days holiday
- •Increased holiday with service
Additional Allowances
- •1.000 € Educational Budget
- •Digital Meal Vouchers
- •Food Vouchers
Learning & Development
- •Language Courses
- •Udemy Business platform access
Family Support
- •Parental Support
Healthcare & Fitness
- •Health Checkups
- •Gym & Bicycle Subsidy
Mental Health Support
- •Meditation
Competitive Pay
- •Employee Share Purchase Plan
Workation & Sabbatical
- •Sabbatical Bank
Public Transport Subsidies
- •Public Transportation Ticket Discount
Other Benefits
- •Life & Accident Insurance
- •Relocation support
- •Interview accessibility support
Retirement Plans
- •Corporate Pension Plan
Corporate Discounts
- •Corporate Discounts
- Axel Springer News Media NationalFull-time/Part-timeWith HomeofficeExperiencedBerlin
- Simon-Kucher
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Data Engineering Manager(m/w/x)
The AI Job Search Engine
Description
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Work Experience
approx. 4 - 6 years
Tasks
- •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 & Technologies
Languages
English – Business Fluent
Benefits
More Vacation Days
- •27 days holiday
- •Increased holiday with service
Additional Allowances
- •1.000 € Educational Budget
- •Digital Meal Vouchers
- •Food Vouchers
Learning & Development
- •Language Courses
- •Udemy Business platform access
Family Support
- •Parental Support
Healthcare & Fitness
- •Health Checkups
- •Gym & Bicycle Subsidy
Mental Health Support
- •Meditation
Competitive Pay
- •Employee Share Purchase Plan
Workation & Sabbatical
- •Sabbatical Bank
Public Transport Subsidies
- •Public Transportation Ticket Discount
Other Benefits
- •Life & Accident Insurance
- •Relocation support
- •Interview accessibility support
Retirement Plans
- •Corporate Pension Plan
Corporate Discounts
- •Corporate Discounts
About the Company
Delivery Hero
Industry
Logistics
Description
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)
Full-time/Part-timeWith HomeofficeExperiencedBerlin - Simon-Kucher
Senior Manager – Data Engineering(m/w/x)
Full-timeWith HomeofficeSeniorBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München - Enpal B.V.
Senior MLOps Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Simon-Kucher
Manager Data Engineering(m/w/x)
Full-timeWith HomeofficeManagementBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München - Aroundhome
Senior Data Engineer - Modern Data Platform & AI(m/w/x)
Full-timeWith HomeofficeSeniorBerlin