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
Cloud data engineering, Data Warehousing, Big Data
Deliverable
production ML models
Required skills
Cloud platforms (Azure, AWS, GCP), Relational databases (PostgreSQL, MS SQL, MySQL), Cloud data warehouses (Snowflake, BigQuery), Python, SQL, ETL/ELT orchestration (Apache Airflow, Azure Data Factory), Infrastructure-as-Code (Terraform)
Preferred skills
CI/CD practices, Data modeling for Lakehouse architectures
Technologies
Azure, AWS, GCP, Snowflake, BigQuery, Databricks, Synapse, Apache Airflow, Azure Data Factory, Terraform, PostgreSQL, MS SQL, MySQL, Python, SQL
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, Creating technical documentation and supporting project planning and execution
Seniority
Mid-level, hands-on IC
