Dein persönlicher KI-Karriere-Agent
Staff Data Engineer(m/w/x)
Architecting and operating scalable data platforms on AWS with Kubernetes deployment. Extensive data and backend engineering experience required. High growth story, AI tools.
Anforderungen
- Extensive data engineering experience
- Extensive backend/platform engineering experience
- Strong Python expertise
- Strong Java expertise
- Strong SQL expertise
- Strong AWS ecosystem expertise
- Hands-on Kubernetes (EKS) experience
- Hands-on containerization (Docker) experience
- Hands-on distributed event streaming frameworks (Kafka) experience
- Hands-on microservices architecture experience
- Experience deploying APIs and services in Kubernetes
- Experience managing APIs and services in Kubernetes
- Solid understanding of CI/CD pipelines
- Solid understanding of infrastructure as code
- Familiarity with orchestration tools (e.g., Airflow)
- Strong system design skills
- Ability to operate at scale
- Excellent communication skills
- Excellent leadership skills
Aufgaben
- Architect and operate scalable data platforms on AWS
- Design, build, and maintain data pipelines
- Develop and deploy containerized data services and APIs on Kubernetes
- Integrate CI/CD for data services and APIs
- Own infrastructure as code for data and platform components
- Manage and optimize Kubernetes workloads
- Build and maintain internal data APIs and microservices
- Ensure high standards for data quality and reliability
- Ensure high standards for data security and governance
- Collaborate with systems engineers and ML engineers
- Collaborate with analytics teams to deliver data solutions
- Lead technical decision-making
- Set best practices for data engineering
- Mentor engineers across teams
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Java
- SQL
- AWS
- Kubernetes
- EKS
- Docker
- Kafka
- Airflow
Benefits
Startup-Atmosphäre
- High growth story
Sonstige Vorteile
- Innovative technology
- Equal opportunity workplace
Moderne Technikausstattung
- AI and other tools
Weiterbildungsangebote
- Professional development support
Lockere Unternehmenskultur
- Feedback culture
- Roof terrace
Mentale Gesundheitsförderung
- Mental health app access
Gesundheits- & Fitnessangebote
- Gym access
- Urban Sports Club subscription coverage
- Office gym
Betriebliche Altersvorsorge
- Corporate pension scheme
Fokus auf Nachhaltigkeit
- Sustainability projects
Flexibles Arbeiten
- Up to 20% mobile work within Germany
- Option to work from abroad
Mehr Urlaubstage
- 28 days of holiday
- Extra holiday days
Modernes Büro
- Zen Rooms
Gratis oder Vergünstigte Mahlzeiten
- Free lunch
Snacks & Getränke
- Free hot and cold drinks
- Free fruit
- Free snacks
Team Events & Ausflüge
- Team events
Noch nicht perfekt?
- DeepLVollzeitmit HomeofficeSeniorBerlin
- Axel Springer SE
Staff Software Engineer Data(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorBerlin - Axel Springer News Media National
Data Engineering Manager(m/w/x)
Vollzeit/Teilzeitmit HomeofficeBerufserfahrenBerlin - 4flow SE
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin
Staff Data Engineer(m/w/x)
Architecting and operating scalable data platforms on AWS with Kubernetes deployment. Extensive data and backend engineering experience required. High growth story, AI tools.
Anforderungen
- Extensive data engineering experience
- Extensive backend/platform engineering experience
- Strong Python expertise
- Strong Java expertise
- Strong SQL expertise
- Strong AWS ecosystem expertise
- Hands-on Kubernetes (EKS) experience
- Hands-on containerization (Docker) experience
- Hands-on distributed event streaming frameworks (Kafka) experience
- Hands-on microservices architecture experience
- Experience deploying APIs and services in Kubernetes
- Experience managing APIs and services in Kubernetes
- Solid understanding of CI/CD pipelines
- Solid understanding of infrastructure as code
- Familiarity with orchestration tools (e.g., Airflow)
- Strong system design skills
- Ability to operate at scale
- Excellent communication skills
- Excellent leadership skills
Aufgaben
- Architect and operate scalable data platforms on AWS
- Design, build, and maintain data pipelines
- Develop and deploy containerized data services and APIs on Kubernetes
- Integrate CI/CD for data services and APIs
- Own infrastructure as code for data and platform components
- Manage and optimize Kubernetes workloads
- Build and maintain internal data APIs and microservices
- Ensure high standards for data quality and reliability
- Ensure high standards for data security and governance
- Collaborate with systems engineers and ML engineers
- Collaborate with analytics teams to deliver data solutions
- Lead technical decision-making
- Set best practices for data engineering
- Mentor engineers across teams
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Java
- SQL
- AWS
- Kubernetes
- EKS
- Docker
- Kafka
- Airflow
Benefits
Startup-Atmosphäre
- High growth story
Sonstige Vorteile
- Innovative technology
- Equal opportunity workplace
Moderne Technikausstattung
- AI and other tools
Weiterbildungsangebote
- Professional development support
Lockere Unternehmenskultur
- Feedback culture
- Roof terrace
Mentale Gesundheitsförderung
- Mental health app access
Gesundheits- & Fitnessangebote
- Gym access
- Urban Sports Club subscription coverage
- Office gym
Betriebliche Altersvorsorge
- Corporate pension scheme
Fokus auf Nachhaltigkeit
- Sustainability projects
Flexibles Arbeiten
- Up to 20% mobile work within Germany
- Option to work from abroad
Mehr Urlaubstage
- 28 days of holiday
- Extra holiday days
Modernes Büro
- Zen Rooms
Gratis oder Vergünstigte Mahlzeiten
- Free lunch
Snacks & Getränke
- Free hot and cold drinks
- Free fruit
- Free snacks
Team Events & Ausflüge
- Team events
Über das Unternehmen
Bonial International GmbH
Branche
Marketing
Beschreibung
The company is a digital advertising partner for offline businesses, supporting retailers in their marketing activities.
Noch nicht perfekt?
- DeepL
Senior Staff Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Axel Springer SE
Staff Software Engineer Data(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorBerlin - Axel Springer News Media National
Data Engineering Manager(m/w/x)
Vollzeit/Teilzeitmit HomeofficeBerufserfahrenBerlin - 4flow SE
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin