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
Deliverable
production ML models | product features | dashboards & analysis
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
