Data Engineer & Digital Transformation Developer (m/f/d)
Core
Building and maintaining automated data pipelines and data lakehouse platforms to harmonize and enrich automotive data for analysis, reporting, and AI use cases.
Role type
Senior Data Engineer & Digital Transformation Developer
Builds
Automated ETL pipelines, data models, and reporting solutions for the automotive industry
Domain
Automotive / Data Engineering / Cloud Data Platforms
Deliverable
production ML models | product features
Required skills
SQL, Python, GIT, PowerBI, ETL tools, data warehouse concepts, data modeling, data transformation, data integrity management, pipeline monitoring and optimization, DevOps methodologies
Preferred skills
Docker, KubeFlow, Amazon Web Services (AWS), backend technologies, basic Data Science workloads
Technologies
Databricks, Redshift, PowerBI, AWS, Docker, KubeFlow, SQL, Python, GIT
Responsibilities
Create and maintain automated data pipelines from various sources; perform data modeling, transformation, and preparation; ensure reliable data storage, availability, and integrity; monitor and optimize ETL pipelines; collaborate with cross-functional business and IT teams; stay updated on Data Engineering and DevOps trends; share knowledge via training and consulting
Seniority
Senior, hands-on IC
