Data Engineer with German

• Experience managing Kubernetes clusters, minimum 3 years.
• Experience with AWS Cloud/AWS Services, minimum 3 years.
• Hands-on experience with REST API-based interfaces, minimum 3 years.
• Hands-on experience with SQL, minimum 3 years.
• Extensive experience in Python programming, minimum 3 years.
• German language proficiency at minimum C1 level.

Nice to have:

• Experience within the transport and logistics sector.
• Experience with Docker, minimum 3 years.
• Experience with Grafana, minimum 3 years.
• Experience with Kafka, minimum 3 years.
• Experience with Kinesis, minimum 3 years.
• Experience with Polars, minimum 3 years.
• Experience with Prometheus, minimum 3 years.
• Experience with Open Telemetry, minimum 3 years.

• Design and implementation of data pipelines for ingestion, transformation, and processing of data from multiple sources (real-time, streaming, batch).
• Architectural design of databases, data warehouses, and data mesh systems.
• Development of technical and business data models for structured and scalable data storage.
• Design and implementation of integration solutions across heterogeneous data sources and systems.
• Analysis of existing data systems and identification of optimization and scaling opportunities.
• Design and implementation of data quality rules, validation mechanisms, and monitoring solutions within data pipelines.
• Contribution to data governance and data security concepts in collaboration with stakeholders.
• Development of test concepts, automated testing, and validation processes for data workflows.
• Execution of deployments and version control (e.g., CI/CD for data pipelines).
• Creation and maintenance of technical documentation for data processes, data flows, and architecture.