Data Engineer (with German)

Responsibilities

• Designing data pipelines for data ingestion and processing within the scope of project-related services
• Architectural design of databases, data mesh systems, and data warehouses • Designing and specifying business and technical data models for data storage • Designing integration solutions from various data sources (including real-time, streaming, and big data)
• Advising on the development of data governance and security policies; Implementation is the responsibility of the
• client.
• Analysis of existing databases and data processing processes.
• Design of solutions for scaling data infrastructures, taking the operating model into account (including DevOps).
• Consulting on the definition and implementation of technical data quality rules and validation mechanisms in data pipelines.
• Implementation of business-related data quality rules and validation mechanisms in data pipelines.
• Design of test designs, test automation, and test cases for data processes.
• Execution of deployments and version control in data processing environments (e.g., CI/CD for data pipelines).
• Creation and maintenance of technical documentation for data processes and data flows.

Qualifications

• Maintenance of Kubernetes-Clusters (min. 5 years experience)
• Experience with AWS Cloud/AWS Services (min. 5 years experience)
• REST-API’s (min. 5 years experience)
• SQL (min. 5 years experience)
• Python Programming (min. 5 years experience)
• German language mandatory

Nice to have

• Experience in the Transport/Logistic industry (one project reference)
• Docker
• Grafana
• Kafka
• Kinesis
• Open Telemetry…