Data Engineer H/F

We are looking for a Data Engineer to design, build, and maintain a scalable and reliable data platform supporting analytics and data science use cases. The role focuses on Databricks-based pipelines, data quality, and modern DevOps practices, working closely with BI, Analytics, and business stakeholders.

Key Responsibilities

Design and optimize ETL/ELT data pipelines on Databricks and AWS
Maintain and evolve the Medallion architecture
Build reusable frameworks for data ingestion, transformation, and validation
Develop data models, schemas, and datasets for analytics and visualization
Implement data quality checks and anomaly detection
Apply DevOps and CI/CD practices, strongly leveraging Terraform
Collaborate with cross-functional teams and support data infrastructure needs
Document pipelines, data models, and technical processes
Mentor team members and support Databricks platform administration