Data Infrastructure Engineer

This is a fully remote position, open to applicants in Germany.

📋 Description

• Design, construct, and manage scalable infrastructure for data ingestion, transformation, storage, and serving.

• Operate streaming flows utilizing Kafka and Avro.

• Coordinate batch workflows using Airflow.

• Ensure Redshift remains efficient, well-structured, and cost-effective.

• Maintain secure, reproducible cloud environments for development, testing, and production while implementing sensible cost controls.

• Take ownership of SLOs, runbooks, and alerts for critical data systems.

• Safeguard sensitive data via access controls, encryption, secrets management, and retention policies.

• Analyze incidents, lead root-cause investigations, and implement preventive enhancements.

• Enhance data discoverability through cataloging, lineage, ownership, and quality testing.

• Create documentation, tools, and self-service workflows for analytics and engineering teams.

• Work collaboratively with SRE, product, engineering, analytics, and security teams.

⛳️ Requirements

• Minimum of 2 years in data platform engineering or scalable software systems.

• Proficient in Kafka and Avro, including schema design, serialization, and evolution.

• Experience with Redshift and production Airflow, focusing on data modeling and performance optimization.

• Familiarity with cloud services and DevOps practices, including CI/CD, infrastructure as code, and Kubernetes.

• Knowledge of data lakes and open table formats is a plus.

• Experience in reliability and security, covering observability, incident response, and troubleshooting pipeline failures.

• Security-aware mindset regarding data access, privacy, and secrets management.

• Ability to communicate clearly with both technical and non-technical stakeholders.

• Experience with dbt is advantageous.

• Must reside in Germany and possess the right to work there.

• Visa sponsorship and relocation assistance are not available.

🏝️ Benefits

• Make a real impact: your contributions influence how the world connects.

• Technical challenges involving high-throughput, distributed, and reactive systems.

• Access to modern AI and agentic tools.

• A culture based on trust, promoting autonomy and respect for personal time.

• Commitment to equal employment opportunities and fostering an inclusive, diverse workplace.

• Fully remote work arrangement.