Bonial International GmbH
13355 Berlin - Deutschland
Data Engineer
Arbeit
Teilzeit Nachmittag
ab 02.04.2026
Beschreibung
We are looking for a Staff Data Engineer to lead the design, development, and operation of our cloud-native data platform on AWS. This role goes beyond traditional data engineering and sits at the intersection of data and platform engineering. You will drive the architecture
and deployment of scalable data services, APIs, and pipelines, while shaping our Kubernetes-based infrastructure and engineering standards.
**Your responsibilities:**
- Architect and operate scalable data platforms using ... weiter lesen
and deployment of scalable data services, APIs, and pipelines, while shaping our Kubernetes-based infrastructure and engineering standards.
**Your responsibilities:**
- Architect and operate scalable data platforms using ... weiter lesen
We are looking for a Staff Data Engineer to lead the design, development, and operation of our cloud-native data platform on AWS. This role goes beyond traditional data engineering and sits at the intersection of data and platform engineering. You will drive the architecture
and deployment of scalable data services, APIs, and pipelines, while shaping our Kubernetes-based infrastructure and engineering standards.
**Your responsibilities:**
- Architect and operate scalable data platforms using AWS services (e.g., S3, Glue, Lambda, EMR)
- Design, build, and maintain batch and real-time data pipelines
- Develop and deploy containerized data services and APIs on Kubernetes (EKS), including CI/CD integration
- Own infrastructure as code (e.g., Terraform, CloudFormation) for data and platform components
- Manage and optimize Kubernetes workloads (resource management, autoscaling, observability, networking)
- Build and maintain internal data APIs and microservices for data access and processing
- Ensure high standards for data quality, reliability, security, and governance
- Collaborate with systems engineers, ML engineers and analytics teams to deliver end-to-end data solutions
- Lead technical decision-making, set best practices, and mentor engineers across teams
## Job requirements
**Your profile:**
- Extensive experience in data engineering and backend/platform engineering
- Strong expertise in Python, Java, SQL, and AWS ecosystem
- Hands-on experience with Kubernetes (EKS), containerization (Docker), distributed event streaming frameworks (Kafka), and microservices architecture
- Experience deploying and managing APIs and services in Kubernetes environments
- Solid understanding of CI/CD pipelines and infrastructure as code
- Familiarity with orchestration tools (e.g., Airflow)
- Strong system design skills and ability to operate at scale
- Excellent communication and leadership skills
As a Staff Data Engineer, you will play a key role in bridging data engineering with modern platform engineering practices, ensuring our AWS-based data ecosystem is scalable, reliable, and developer-friendly.
and deployment of scalable data services, APIs, and pipelines, while shaping our Kubernetes-based infrastructure and engineering standards.
**Your responsibilities:**
- Architect and operate scalable data platforms using AWS services (e.g., S3, Glue, Lambda, EMR)
- Design, build, and maintain batch and real-time data pipelines
- Develop and deploy containerized data services and APIs on Kubernetes (EKS), including CI/CD integration
- Own infrastructure as code (e.g., Terraform, CloudFormation) for data and platform components
- Manage and optimize Kubernetes workloads (resource management, autoscaling, observability, networking)
- Build and maintain internal data APIs and microservices for data access and processing
- Ensure high standards for data quality, reliability, security, and governance
- Collaborate with systems engineers, ML engineers and analytics teams to deliver end-to-end data solutions
- Lead technical decision-making, set best practices, and mentor engineers across teams
## Job requirements
**Your profile:**
- Extensive experience in data engineering and backend/platform engineering
- Strong expertise in Python, Java, SQL, and AWS ecosystem
- Hands-on experience with Kubernetes (EKS), containerization (Docker), distributed event streaming frameworks (Kafka), and microservices architecture
- Experience deploying and managing APIs and services in Kubernetes environments
- Solid understanding of CI/CD pipelines and infrastructure as code
- Familiarity with orchestration tools (e.g., Airflow)
- Strong system design skills and ability to operate at scale
- Excellent communication and leadership skills
As a Staff Data Engineer, you will play a key role in bridging data engineering with modern platform engineering practices, ensuring our AWS-based data ecosystem is scalable, reliable, and developer-friendly.
Ref-Nr.: 10237339
Aktualisiert:
02.04.2026
Quelle: Bundesagentur für Arbeit
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Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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