Data Engineer
Core
Build and maintain scalable data pipelines, data products, and integration solutions on modern cloud platforms to support analytics, reporting, operational systems, and AI-driven use cases.
Role type
Data Engineer
Builds
Scalable data pipelines, data products, reusable data services, and cloud-native integrations
Domain
Automotive and Smart Mobility
Deliverable
production ML models
Required skills
Databricks, Spark, Python, SQL, Delta Lake, ETL/ELT frameworks, Azure, API development, event-driven architectures, distributed data systems, data modeling, data governance, metadata management, security, access control, DevOps, CI/CD, AI-assisted development
Preferred skills
Logistics, warehouse management, inventory, transport, planning, or supply chain domain knowledge
Technologies
Databricks, Spark, Python, SQL, Delta Lake, Azure
Responsibilities
Design, develop, and maintain scalable data pipelines; Build and optimize ETL/ELT frameworks; Implement data products and reusable data services; Develop integrations using APIs and event-driven architectures; Support implementation of data models; Optimize performance, reliability, and scalability of data processing solutions; Ensure compliance with governance, security, metadata, and lineage requirements; Collaborate with architects, modellers, product managers, and business stakeholders; Support analytics, reporting, operational systems, and AI-driven use cases; Contribute to DevOps, automation, CI/CD, and AI-assisted development practices