Senior Data Engineer (m/w/d)
Core
Design, build, and operate scalable data pipelines and architectures to ensure a high-quality, reliable data foundation for analytics and BI applications within the wind energy sector.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, trusted reusable data bases, and optimized data models for analytics
Domain
Wind energy / Renewable energy / Cloud data engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
PySpark, SQL, Databricks, Azure Data Factory, Lakehouse architectures, Data Governance, Data Quality, Performance Optimization, End-to-End data lifecycle management
Preferred skills
Experience in green growth industries
Technologies
PySpark, SQL, Databricks, Azure Data Factory
Responsibilities
Design, build, and operate scalable data pipelines and architectures; Focus on building trusted, reusable data bases; Optimize data models for analytics and BI applications; Work at the intersection of engineering, analytics, and operations; Contribute to uniform data patterns, models, and best practices
Seniority
Senior, hands-on IC
