Data Engineer

We are looking for an experienced Data Engineer for a project with a major German Enterprise client. In this role, you will work with scalable cloud infrastructure, design DWH architecture, and optimize production data pipelines for international teams. 🛠 Responsibilities: * Develop, optimize, and maintain reliable ETL/ELT data pipelines in a cloud environment. * Design and scale Data Warehouse / Data Lake architecture. * Integrate new data sources while ensuring high data quality, stability, and performance. * Automate processes and collaborate closely with Analytics, BI, and DevOps teams. 🎯 Requirements (Must-have): * 3+ years of experience as a Data Engineer in an enterprise environment. * Strong proficiency in Python and Advanced SQL. * Deep understanding of ETL/ELT concepts, data pipeline development, and Data Warehousing. * Hands-on experience with cloud platforms (AWS or Azure). * Hands-on experience with modern data processing platforms (Databricks / PySpark). * English proficiency at B2+ or higher (comfortable with fluent technical communication). ⭐️ Nice-to-have: * Experience with dbt, Snowflake, or Azure Data Factory. * Knowledge of Terraform / CI/CD / DataOps practices. * Experience with real-time streaming technologies (Kafka / Azure Event Hub). * Understanding of data modeling methodologies (e.g., Data Vault 2.0). * Experience with enterprise integrations (SAP, REST APIs).