Data Infrastructure Engineer

• Design, build and operate scalable infrastructure for data ingestion, transformation, storage and serving
• Run streaming flows with Kafka and Avro
• Orchestrate batch workflows in Airflow
• Keep Redshift performant, well-modeled and cost-effective
• Manage secure, reproducible cloud environments for development, testing and production
• Own SLOs, runbooks and alerts for critical data systems
• Protect sensitive data through 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 for analytics and engineering teams
• Collaborate with SRE, product, engineering, analytics and security teams

• 2+ years in data platform engineering or scalable software systems
• Experience with Kafka and Avro, including schema design, serialization and evolution
• Experience with Redshift and production Airflow, including data modeling and performance tuning
• Cloud and DevOps experience: CI/CD, infrastructure as code and Kubernetes
• Experience with data lakes and open table formats
• Reliability and security experience: observability, incident response and debugging pipeline failures
• Security-conscious approach to data access, privacy and secrets
• Clear communication with technical and non-technical stakeholders
• Must be based in Germany or Spain
• Must have the right to work in Germany or Spain
• Visa sponsorship and relocation support are not available

• Best AI and agentic tools
• Culture of trust and respect for employees’ time
• Fully remote work arrangement
• Equal employment opportunities and inclusive, diverse workplace