Data Science Engineer
Core
Designing and maintaining scalable data pipelines and architectures to enable high-performance analytics and machine learning workflows for the automotive industry.
Role type
Senior Data Science Engineer (Data Engineering focus)
Builds
Production-grade data pipelines, data warehouse architectures, and analytics solutions for automotive OEMs and suppliers
Domain
Automotive benchmarking and data analytics
Required skills
Microsoft Fabric ecosystem (OneLake, Data Factory, Data Warehouse, Synapse), Python, SQL, ETL/ELT pipeline design, data modeling, performance optimization
Preferred skills
Machine learning workflows (Azure ML, Scikit-learn, MLflow), Power BI, DevOps concepts (CI/CD, Azure DevOps)
Technologies
Microsoft Fabric, OneLake, Data Factory, Data Warehouse, Synapse, Python, SQL, Pandas, PySpark, Azure ML, Scikit-learn, MLflow, Power BI, Azure DevOps
Responsibilities
Design, build, and maintain robust ETL/ELT data pipelines; Develop scalable data warehouse architecture; Integrate structured and unstructured data from multiple sources; Monitor and improve performance of data processing pipelines; Ensure data quality, security, and compliance; Apply best practices in data governance and version control
Seniority
Senior, hands-on IC
