Data Engineer (w/m/d)
Core
Designing and developing modern data infrastructures in hybrid and cloud-based environments, integrating and orchestrating data sources via ETL/ELT processes, and modeling scalable data models for DWH, Data Lakes, and Lakehouse architectures.
Role type
Data Engineer
Builds
Robust, production-ready data pipelines and scalable data architectures
Domain
Data Engineering, Cloud Infrastructure, Big Data
Deliverable
production ML models | infrastructure
Required skills
Cloud platform expertise (Azure, AWS, GCP), Relational and modern cloud database management (PostgreSQL, MS SQL, Snowflake, BigQuery), Python programming, SQL, Infrastructure-as-Code (Terraform), CI/CD practices
Preferred skills
Experience with data modeling for DWH/Lakehouse, evaluation of new technologies, technical documentation
Technologies
Azure, AWS, GCP, Snowflake, BigQuery, Databricks, Synapse, Talend, SQL Server Integration Services, Apache Airflow, Azure Data Factory, Terraform
Responsibilities
Designing and developing modern data infrastructures in hybrid and cloud-based environments, Integrating and orchestrating structured and unstructured data sources via ETL/ELT processes, Modeling performant, scalable data models for DWH, Data Lakes and Lakehouse architectures, Evaluating new technologies and developing guidelines for efficient, quality-secured data architectures, Supporting project planning and execution
Seniority
Mid-level, hands-on IC
