Senior Data Engineer (m/w/d)
Core
Design and build scalable ETL/ELT processes and data pipelines on Databricks within the Azure Cloud to support data-driven solutions.
Role type
Senior Data Engineer
Builds
Data pipelines, Lakehouse architectures, and data warehouses
Domain
Cloud data engineering, Azure ecosystem
Deliverable
production ML models | infrastructure
Required skills
Databricks, Azure Synapse, Azure Data Factory, Python (pandas, PySpark), SQL, data modeling (Star Schema, Data Vault, Medallion), ETL/ELT, performance tuning, workflow orchestration, cloud environment management
Preferred skills
Microsoft Fabric, Apache Kafka, Apache Airflow, Data Governance, Security, Compliance, Databricks certifications
Technologies
Databricks, Azure Synapse, Azure Data Factory, Python, SQL, Microsoft Fabric, Apache Kafka, Apache Airflow
Responsibilities
Architect and develop scalable ETL/ELT processes and data pipelines on Databricks in Azure; model data and build Lakehouse architectures; automate and optimize data flows for performance, quality, and stability; integrate and transform data from diverse sources into data warehouses or Lakehouse environments; implement best practices in Data Governance, Monitoring, and Security; mentor junior colleagues and shape technical standards; collaborate with Data Scientists, Analysts, and Consultants to implement data-driven solutions
Seniority
Senior, hands-on IC