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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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Java
- SQL
- AWS
- Kubernetes
- EKS
- Docker
- Kafka
- Airflow
Benefits
Startup Environment
- High growth story
Other Benefits
- Innovative technology
- Equal opportunity workplace
Modern Equipment
- AI and other tools
Learning & Development
- Professional development support
Informal Culture
- Feedback culture
- Roof terrace
Mental Health Support
- Mental health app access
Healthcare & Fitness
- Gym access
- Urban Sports Club subscription coverage
- Office gym
Retirement Plans
- Corporate pension scheme
Sustainability Focus
- Sustainability projects
Flexible Working
- Up to 20% mobile work within Germany
- Option to work from abroad
More Vacation Days
- 28 days of holiday
- Extra holiday days
Modern Office
- Zen Rooms
Free or Subsidized Food
- Free lunch
Snacks & Drinks
- Free hot and cold drinks
- Free fruit
- Free snacks
Team Events
- Team events
Not a perfect match?
- DeepLFull-timeWith HomeofficeSeniorBerlin
- Axel Springer SE
Staff Software Engineer Data(m/w/x)
Full-time/Part-timeWith HomeofficeSeniorBerlin - Axel Springer News Media National
Data Engineering Manager(m/w/x)
Full-time/Part-timeWith HomeofficeExperiencedBerlin
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Java
- SQL
- AWS
- Kubernetes
- EKS
- Docker
- Kafka
- Airflow
Benefits
Startup Environment
- High growth story
Other Benefits
- Innovative technology
- Equal opportunity workplace
Modern Equipment
- AI and other tools
Learning & Development
- Professional development support
Informal Culture
- Feedback culture
- Roof terrace
Mental Health Support
- Mental health app access
Healthcare & Fitness
- Gym access
- Urban Sports Club subscription coverage
- Office gym
Retirement Plans
- Corporate pension scheme
Sustainability Focus
- Sustainability projects
Flexible Working
- Up to 20% mobile work within Germany
- Option to work from abroad
More Vacation Days
- 28 days of holiday
- Extra holiday days
Modern Office
- Zen Rooms
Free or Subsidized Food
- Free lunch
Snacks & Drinks
- Free hot and cold drinks
- Free fruit
- Free snacks
Team Events
- Team events
About the Company
Bonial International GmbH
Industry
Marketing
Description
The company is a digital advertising partner for offline businesses, supporting retailers in their marketing activities.
Not a perfect match?
- DeepL
Senior Staff Data Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Axel Springer SE
Staff Software Engineer Data(m/w/x)
Full-time/Part-timeWith HomeofficeSeniorBerlin - Axel Springer News Media National
Data Engineering Manager(m/w/x)
Full-time/Part-timeWith HomeofficeExperiencedBerlin