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Data Engineering Manager(m/w/x)
Description
You will lead a talented team while staying hands-on with large-scale data systems. By balancing technical architecture with people management, you'll drive engineering excellence and help the engineers thrive.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Experience in data engineering and distributed systems
- •Expertise in data platform design and modeling
- •Strong programming skills in modern languages
- •Experience with cloud environments and platform practices
- •People leadership experience or strong readiness
- •Ability to set technical direction and mentor
- •Excellent communication and collaboration skills
- •Comfort working with ambiguity and stakeholders
Work Experience
approx. 1 - 4 years
Tasks
- •Lead and manage the data engineering team
- •Set technical direction and engineering standards
- •Design and operate large-scale distributed data systems
- •Manage the full data system lifecycle
- •Evolve data models, pipelines, and APIs
- •Drive platform reliability and performance optimization
- •Partner with cross-functional product and data teams
- •Mentor engineers through technical reviews and guidance
- •Manage performance, hiring, and engineer growth
- •Scale the organization and team culture
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Flexible working hours
- •80% office 20% mobile working
Learning & Development
- •Trainings and learning lunches
- •Tech conferences
- •Budget for workshops
Snacks & Drinks
- •Free breakfast snack
Free or Subsidized Food
- •Free lunch in canteens
More Vacation Days
- •30 days vacation
Workation & Sabbatical
- •10 days working from abroad
Modern Equipment
- •Free choice of office equipment
- •Up-to-date hardware and software
Modern Office
- •Modern office spaces
Other Benefits
- •Relocation and visa guidance
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Data Engineering Manager(m/w/x)
The AI Job Search Engine
Description
You will lead a talented team while staying hands-on with large-scale data systems. By balancing technical architecture with people management, you'll drive engineering excellence and help the engineers thrive.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Experience in data engineering and distributed systems
- •Expertise in data platform design and modeling
- •Strong programming skills in modern languages
- •Experience with cloud environments and platform practices
- •People leadership experience or strong readiness
- •Ability to set technical direction and mentor
- •Excellent communication and collaboration skills
- •Comfort working with ambiguity and stakeholders
Work Experience
approx. 1 - 4 years
Tasks
- •Lead and manage the data engineering team
- •Set technical direction and engineering standards
- •Design and operate large-scale distributed data systems
- •Manage the full data system lifecycle
- •Evolve data models, pipelines, and APIs
- •Drive platform reliability and performance optimization
- •Partner with cross-functional product and data teams
- •Mentor engineers through technical reviews and guidance
- •Manage performance, hiring, and engineer growth
- •Scale the organization and team culture
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Flexible working hours
- •80% office 20% mobile working
Learning & Development
- •Trainings and learning lunches
- •Tech conferences
- •Budget for workshops
Snacks & Drinks
- •Free breakfast snack
Free or Subsidized Food
- •Free lunch in canteens
More Vacation Days
- •30 days vacation
Workation & Sabbatical
- •10 days working from abroad
Modern Equipment
- •Free choice of office equipment
- •Up-to-date hardware and software
Modern Office
- •Modern office spaces
Other Benefits
- •Relocation and visa guidance
About the Company
Axel Springer News Media National
Industry
Media
Description
Das Unternehmen investiert in zukunftsweisende Technologien und glaubt an die Zukunft von Journalismus als Geschäftsmodell.
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