The AI Job Search Engine
Engineering Manager - Data & ML Platform(m/w/x)
Description
You will lead a cross-functional team to build the foundational data and ML infrastructure that powers the company's decision-making, while mentoring engineers to reach their full potential.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Passion for scalable data infrastructure
- •Ability to thrive in fast-paced environments
- •Demonstrated people leadership and team building
- •Experience operating large-scale data platforms
- •Technical foundation in distributed systems
- •Experience with cloud infrastructure and IaC
- •Experience with ML infrastructure components
- •Experience running high-reliability data services
- •Clear communication and technical translation
- •Experience with AI development tools
- •Experience with ML serving and MLOps
- •Background in real-time streaming systems
- •Experience with data governance and GDPR
- •Experience with dbt Cloud or Core
- •Familiarity with E-commerce or marketplaces
Work Experience
approx. 1 - 4 years
Tasks
- •Lead and scale a cross-functional engineering team
- •Manage hiring, onboarding, and performance reviews
- •Provide regular feedback and career development paths
- •Partner with Data Science to shape initiatives
- •Oversee data pipelines and warehouse architecture
- •Manage ML training infrastructure and feature stores
- •Lead architectural decisions and RFC discussions
- •Set operational standards through SLIs and SLOs
- •Manage monitoring and incident response processes
- •Lead blameless postmortems for continuous improvement
- •Automate pipelines to reduce operational toil
- •Build self-service capabilities for data consumers
- •Foster a collaborative and supportive engineering culture
- •Ensure data quality and GDPR compliance
- •Collaborate with peer managers to improve practices
- •Drive data literacy across the entire organization
Tools & Technologies
Languages
English – Business Fluent
Benefits
Learning & Development
- •Annual €1000 L&D budget
- •Unlimited e-learning platform access
- •Online German courses
Mentorship & Coaching
- •Individual coaching options
More Vacation Days
- •26-30 days of vacation
Additional Allowances
- •Monthly €35 mobility budget
Healthcare & Fitness
- •Urban Sports Club discount
Retirement Plans
- •Attractive company pension options
Corporate Discounts
- •Corporate Benefits online discounts
- •Future Bens online discounts
- •Personal Flink order discount
- Prior LabsFull-timeOn-siteExperiencedfrom 140,000 / yearBerlin, Freiburg im Breisgau
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Engineering Manager - Data & ML Platform(m/w/x)
The AI Job Search Engine
Description
You will lead a cross-functional team to build the foundational data and ML infrastructure that powers the company's decision-making, while mentoring engineers to reach their full potential.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Passion for scalable data infrastructure
- •Ability to thrive in fast-paced environments
- •Demonstrated people leadership and team building
- •Experience operating large-scale data platforms
- •Technical foundation in distributed systems
- •Experience with cloud infrastructure and IaC
- •Experience with ML infrastructure components
- •Experience running high-reliability data services
- •Clear communication and technical translation
- •Experience with AI development tools
- •Experience with ML serving and MLOps
- •Background in real-time streaming systems
- •Experience with data governance and GDPR
- •Experience with dbt Cloud or Core
- •Familiarity with E-commerce or marketplaces
Work Experience
approx. 1 - 4 years
Tasks
- •Lead and scale a cross-functional engineering team
- •Manage hiring, onboarding, and performance reviews
- •Provide regular feedback and career development paths
- •Partner with Data Science to shape initiatives
- •Oversee data pipelines and warehouse architecture
- •Manage ML training infrastructure and feature stores
- •Lead architectural decisions and RFC discussions
- •Set operational standards through SLIs and SLOs
- •Manage monitoring and incident response processes
- •Lead blameless postmortems for continuous improvement
- •Automate pipelines to reduce operational toil
- •Build self-service capabilities for data consumers
- •Foster a collaborative and supportive engineering culture
- •Ensure data quality and GDPR compliance
- •Collaborate with peer managers to improve practices
- •Drive data literacy across the entire organization
Tools & Technologies
Languages
English – Business Fluent
Benefits
Learning & Development
- •Annual €1000 L&D budget
- •Unlimited e-learning platform access
- •Online German courses
Mentorship & Coaching
- •Individual coaching options
More Vacation Days
- •26-30 days of vacation
Additional Allowances
- •Monthly €35 mobility budget
Healthcare & Fitness
- •Urban Sports Club discount
Retirement Plans
- •Attractive company pension options
Corporate Discounts
- •Corporate Benefits online discounts
- •Future Bens online discounts
- •Personal Flink order discount
About the Company
Flink
Industry
Retail
Description
The company is the leading quick commerce player in Europe, delivering groceries through an app in minutes with a focus on sustainability.
- Prior Labs
ML Engineer, Cloud Platform(m/w/x)
Full-timeOn-siteExperiencedfrom 140,000 / yearBerlin, Freiburg im Breisgau - SumUp
Senior Technical Product Manager - Data Platform(m/w/x)
Full-timeOn-siteSeniorBerlin - Ströer SE & Co. KGaA
Data Engineer(m/w/x)
Full-timeOn-siteExperiencedBerlin - Snowflake
Engineering Manager Performance(m/w/x)
Full-timeOn-siteSeniorBerlin - Flink
Senior Analytics Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin