Axel Springer News Media National
Data Engineering Manager(m/w/x)
Vollzeit/Teilzeitmit HomeofficeBerufserfahren
Berlin
Neuer Job?Nejo!
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VEVestiaire Collective
Data Engineering Manager(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Leading 2-3 Senior Data Engineers in a global fashion tech platform, focusing on coaching and high standards. Strong data engineering background and ability to guide technical decisions required. Hybrid model, 2 paid charity days.
Anforderungen
- Enjoyment of growing engineers and building strong teams
- Strong data engineering background
- Ability to guide technical decisions
- Focus on impact, scalability, and maintainability
- Effective cross-team collaboration
- Value for shared ownership
- Care for internal user experience
- Curiosity about data platform evolution
- Curiosity about AI evolution
- Curiosity about modern data ecosystems
- Strong experience with Python
- Strong experience with SQL
- Solid experience with distributed data processing
- Experience with workflow orchestration
- Familiarity with AWS
- Familiarity with Docker
- Familiarity with Kubernetes
- Experience with modern data stacks
- Previous experience managing engineers
- Previous experience mentoring engineers
- Ability to drive technical decisions
- Ability to prioritize effectively
- Experience with ML pipelines
- Experience with ML tools
- Exposure to LLM/GenAI infrastructure
- Experience building internal data platforms
- Familiarity with Infrastructure as Code
- Exposure to FinOps practices
- Exposure to cost optimization practices
- Experience may not align perfectly
Aufgaben
- Lead a team of 2 to 3 Senior Data Engineers
- Provide regular feedback and coaching
- Foster a collaborative and high-performing team
- Ensure ownership and clarity of priorities
- Maintain high engineering standards
- Drive reliability and scalability of data infrastructure
- Define best practices for data quality and monitoring
- Ensure platform stability and scalability
- Improve performance and optimize costs
- Evolve orchestration tools for smooth developer experience
- Partner with Analytics Engineers and Data Scientists
- Support infrastructure strategy for AI and ML
- Enable scalable ML workflows and model deployment
- Anticipate future AI-driven product needs
- Guide architectural decisions
- Participate in design discussions
- Bridge engineering, data, and product stakeholders
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- Spark
- Kafka
- Airflow
- AWS
- Docker
- Kubernetes
- Snowflake
- dbt
- MLflow
- SageMaker
- Vector DBs
- Bedrock
- Terraform
Benefits
Sicherer Arbeitsplatz
- Permanent contract
Flexibles Arbeiten
- Hybrid model
Sinnstiftende Arbeit
- 2 paid days for charity
Attraktive Vergütung
- Competitive compensation
Boni & Prämien
- Bonus
Gesundheits- & Fitnessangebote
- Health coverage
- Gym-Pass
Gratis oder Vergünstigte Mahlzeiten
- Lunch vouchers
Sonstige Vorteile
- Additional legal perks
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Vestiaire Collective erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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VEVestiaire Collective
Data Engineering Manager(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Leading 2-3 Senior Data Engineers in a global fashion tech platform, focusing on coaching and high standards. Strong data engineering background and ability to guide technical decisions required. Hybrid model, 2 paid charity days.
Anforderungen
- Enjoyment of growing engineers and building strong teams
- Strong data engineering background
- Ability to guide technical decisions
- Focus on impact, scalability, and maintainability
- Effective cross-team collaboration
- Value for shared ownership
- Care for internal user experience
- Curiosity about data platform evolution
- Curiosity about AI evolution
- Curiosity about modern data ecosystems
- Strong experience with Python
- Strong experience with SQL
- Solid experience with distributed data processing
- Experience with workflow orchestration
- Familiarity with AWS
- Familiarity with Docker
- Familiarity with Kubernetes
- Experience with modern data stacks
- Previous experience managing engineers
- Previous experience mentoring engineers
- Ability to drive technical decisions
- Ability to prioritize effectively
- Experience with ML pipelines
- Experience with ML tools
- Exposure to LLM/GenAI infrastructure
- Experience building internal data platforms
- Familiarity with Infrastructure as Code
- Exposure to FinOps practices
- Exposure to cost optimization practices
- Experience may not align perfectly
Aufgaben
- Lead a team of 2 to 3 Senior Data Engineers
- Provide regular feedback and coaching
- Foster a collaborative and high-performing team
- Ensure ownership and clarity of priorities
- Maintain high engineering standards
- Drive reliability and scalability of data infrastructure
- Define best practices for data quality and monitoring
- Ensure platform stability and scalability
- Improve performance and optimize costs
- Evolve orchestration tools for smooth developer experience
- Partner with Analytics Engineers and Data Scientists
- Support infrastructure strategy for AI and ML
- Enable scalable ML workflows and model deployment
- Anticipate future AI-driven product needs
- Guide architectural decisions
- Participate in design discussions
- Bridge engineering, data, and product stakeholders
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- Spark
- Kafka
- Airflow
- AWS
- Docker
- Kubernetes
- Snowflake
- dbt
- MLflow
- SageMaker
- Vector DBs
- Bedrock
- Terraform
Benefits
Sicherer Arbeitsplatz
- Permanent contract
Flexibles Arbeiten
- Hybrid model
Sinnstiftende Arbeit
- 2 paid days for charity
Attraktive Vergütung
- Competitive compensation
Boni & Prämien
- Bonus
Gesundheits- & Fitnessangebote
- Health coverage
- Gym-Pass
Gratis oder Vergünstigte Mahlzeiten
- Lunch vouchers
Sonstige Vorteile
- Additional legal perks
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Vestiaire Collective erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Vestiaire Collective
Branche
Fashion
Beschreibung
The company is the leading global online marketplace for desirable pre-loved fashion, promoting the circular fashion movement.
Noch nicht perfekt?
- Axel Springer News Media National
Data Engineering Manager(m/w/x)
Vollzeit/Teilzeitmit HomeofficeBerufserfahrenBerlin - RoomPriceGenie
Associate Data Engineering Manager(m/w/x)
VollzeitRemoteManagementMannheim, Berlin - Awin
Data Engineering Manager(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Hannover, München - RoomPriceGenie
Hands-On Data Engineering Manager(m/w/x)
VollzeitRemoteManagementMannheim, Berlin - Nelly
Engineering Manager, Core Data(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin