Data Engineer

Data Engineer responsible for designing, building and maintaining robust data pipelines and software components, working with modern technologies to achieve scalable and reusable solutions.

Requirements

• Design, develop and maintain data pipelines, ETL processes and reusable modules with Python, PySpark and Airflow.
• Collaborate with data scientists, architects and other engineers to build scalable and reusable group components on an AWS-based platform (Edison).
• Support other KBC entities in rolling out group components in their local context.
• Actively contribute to managing the backlog and refining new user stories.
• Thinking along on the roadmap, contributing to technology choices and translating functional requirements into technical designs.

Benefits

• Work-life balance
• Stability
• International environment
• Health inclusivity