Cloud Native Data Engineer (all genders)
Core
Designing and implementing robust data pipelines, container-based analytics platforms, and CI/CD pipelines for customers on Kubernetes to support their journey to data sovereignty.
Role type
Cloud Native Data Engineer
Builds
Data pipelines, containerized analytics platforms, and automated deployment infrastructure
Domain
Data & Analytics, Cloud Technology
Deliverable
production ML models | product features | infrastructure
Required skills
Apache Airflow, Kafka, Spark, Trino, Kubernetes, Helm-Charts, ArgoCD, Java, Scala, Python, Terraform, Ansible, Maven, sbt, Gradle, Git
Preferred skills
AI/ML tool application and evaluation, Infrastructure-as-Code concepts (IaaS, PaaS, SaaS)
Responsibilities
Design and implement robust data pipelines and data ingestion using open-source components; Develop container-based analytics platforms and efficient CI/CD pipelines; Automate deployment of analytics platforms ensuring reproducibility and stability; Integrate data platforms into customer landscapes including IAM, monitoring, and logging; Translate business requirements into data products on Kubernetes basis; Share knowledge and test new technologies in cloud, data, and software engineering
Seniority
Professional level, hands-on IC
