Data Infrastructure Engineer-Germany

Job summary

The Data Infrastructure Engineer designs, builds, and operates scalable platforms for data ingestion, transformation, storage, and serving. The role supports product, engineering, and analytics teams by running Kafka and Avro streams, orchestrating Airflow workflows, and maintaining performant, cost-effective Redshift systems. It also focuses on cloud infrastructure, reliability, security, and making data easier to discover and use.

Qualifications

• At least 2 years of experience in data platform engineering or scalable software systems
• Experience with Kafka and Avro schema design, serialization, and evolution
• Experience with Redshift, production Airflow, data modeling, and performance tuning
• Cloud and DevOps experience, including CI/CD, infrastructure as code, and Kubernetes
• Familiarity with data lakes and open table formats
• Experience with observability, incident response, and debugging pipeline failures
• Security-conscious approach to data access, privacy, and secrets
• Clear communication with technical and non-technical stakeholders
• dbt experience is a plus

Responsibilities

• Design, build, and operate scalable data ingestion, transformation, storage, and serving infrastructure
• Run Kafka and Avro streaming flows and orchestrate batch workflows with Airflow
• Maintain well-modeled, performant, and cost-effective Redshift systems
• Manage secure, reproducible cloud environments and infrastructure as code
• Own SLOs, runbooks, and alerts for critical data systems
• Protect sensitive data with access controls, encryption, secrets management, and retention policies
• Investigate incidents, lead root-cause analysis, and implement preventative improvements
• Improve data discoverability through cataloging, lineage, ownership, and quality testing
• Build documentation, tooling, and self-service workflows

Skills

Industry

Relocation