4 days ago
Berlin, GermanyMid Level
Responsibilities
- Design, build, and maintain scalable data infrastructure on AWS and Kubernetes.
- Develop and operate streaming and data platform components using Kafka and Snowflake.
- Implement monitoring, alerting, and operational tooling for platform reliability and performance.
- Own features end to end, including development, testing, deployment, monitoring, and maintenance.
- Build and maintain infrastructure as code with Terraform and GitLab.
- Collaborate with analysts, data scientists, and stakeholders on data platform use cases.
- Improve platform reliability, automation, and engineering practices.
- Participate in on-call rotations to support data platform stability.
Requirements
- At least 3 years of experience building or operating data infrastructure or data platforms.
- Hands-on experience with Kafka and data warehouses such as Snowflake.
- Experience with infrastructure as code tools such as Terraform and CI/CD pipelines such as GitLab.
- Practical experience with cloud platforms, preferably AWS, and container platforms such as Kubernetes.
- Experience with monitoring and observability tools such as Datadog or similar.
- Solid Python programming skills and an interest in clean, maintainable code.
- Strong collaboration and communication skills with technical and business stakeholders.
- Fluent English communication.
- Preferred: advanced SQL or data transformation experience with tools such as dbt.
- Preferred: experience with data processing frameworks such as PySpark.
- Preferred: knowledge of security and networking concepts relevant to data platforms.
Benefits
- 12 free Flix vouchers and 12 discount vouchers for friends and family.
- Work from another location for up to 60 days per year, depending on the role.
- Hybrid work model with an office-first approach.
- Confidential one-to-one counseling, courses, and stress-management support for employees and up to four family members.
- Language classes, training courses, and expert-led learning sessions.
- Mentoring program with experienced colleagues.
Tech Stack
Categories
Data EngineeringDevOps
