Senior Data Engineer
Core
Design, build, and maintain scalable data infrastructure and pipelines to support machine learning models and large-scale analytics for data scientists and analysts.
Role type
Senior Data Engineer (ML-focused)
Builds
Scalable data pipelines, data warehousing solutions, and production ML/AI tools
Domain
Data Engineering / Machine Learning / Cloud Infrastructure
Deliverable
production ML models | data pipelines | dashboards & analysis
Required skills
Python (Pandas, NumPy, Scikit-learn), Cloud platforms (AWS, GCP, Azure), Relational and non-relational databases, Machine Learning, Big data processing, Data governance
Preferred skills
MSc or PhD in Data Science, Computer Science, Physics, or Mathematics
Technologies
Python, Pandas, NumPy, Scikit-learn, AWS, Google Cloud, Azure
Responsibilities
Design and develop scalable data pipelines for data transformation and preparation; Prepare datasets for exploratory analysis, A/B testing, and model training; Ensure data quality and consistency across sources; Deploy machine learning models to production; Build and maintain data warehousing solutions; Enforce data governance and security policies; Mentor junior data engineers
Seniority
Senior, hands-on IC
