Senior Data Engineer (m,f,d)
Core
Design and develop modern data pipelines, data platforms, and analytical solutions to enable data-driven decision-making.
Role type
Senior Data Engineer
Builds
Scalable data pipelines and data-processing solutions
Domain
Industrial manufacturing / Energy efficiency / Cloud data engineering
Deliverable
production ML models
Required skills
Python, PySpark, SQL, ETL/ELT pipeline design, Data warehouse/lakehouse architecture, Azure cloud platforms, Data orchestration (Airflow/Azure Data Factory), CI/CD, Git, Data modeling, Data governance, Data security
Preferred skills
Experience with batch and real-time processing, Automated testing
Technologies
Azure, Airflow, Azure Data Factory, PySpark, SQL
Responsibilities
Design, build, and maintain scalable data pipelines; Develop and optimize data architectures for batch and real-time processing; Integrate data from various sources; Ensure data quality, security, governance, and compliance; Improve the performance, reliability, and transparency of data platforms; Collaborate with IT product teams, data analysts, and business departments; Establish and promote best practices in data engineering, testing, documentation, and version control
Seniority
Senior, hands-on IC
