Senior Data Engineer (m,f,d)
Core
Design and develop scalable, reliable data pipelines, data platforms, and analytical solutions to enable data-driven decision-making.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, data-processing solutions, data platforms
Domain
Industrial technology / Energy sector / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, PySpark, ETL/ELT pipeline design, SQL, relational databases, data warehousing, data lakes, lakehouse architectures, cloud platforms (Azure), orchestration tools (Airflow, Azure Data Factory), CI/CD, Git, automated testing, data modeling, data governance, data security
Preferred skills
Experience with data engineering in related fields
Technologies
Python, PySpark, SQL, Azure, Airflow, Azure Data Factory, Git
Responsibilities
Design, build, and maintain scalable data pipelines and data-processing solutions; 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; Evaluate new technologies and help shape the future data platform
Seniority
Senior, hands-on IC
