Data Engineer (Platform)

Elios Talent is seeking a hands-on Data Engineer to help build and scale a modern data platform that will serve as the foundation for multiple applications and analytics capabilities. This role focuses on platform engineering and data infrastructure, requiring expertise in designing scalable data pipelines and implementing modern data architecture patterns.

Responsibilities:

• Design and build scalable data pipelines that support a modern data platform
• Develop transformation workflows using dbt and Python
• Build and maintain orchestration pipelines using Apache Airflow
• Implement and support medallion architecture data layers (bronze, silver, gold)
• Develop reliable CDC ingestion pipelines for structured and semi-structured data
• Build reusable data platform components that enable downstream application development
• Work with engineering teams to integrate data platform capabilities into product workflows
• Ensure data reliability, performance, and observability across pipelines
• Help define best practices for data modeling, pipeline orchestration, and platform scalability
• Contribute to a modern engineering culture focused on automation, reliability, and platform ownership

Requirements:

• Strong hands-on experience as a Data Engineer building production data pipelines
• Expertise with dbt for transformation and data modeling
• Strong Python development experience
• Deep experience with Apache Airflow for pipeline orchestration
• Experience implementing medallion architecture or similar layered data platform patterns
• Hands-on experience building CDC ingestion pipelines
• Experience working with modern data platform ecosystems and cloud environments
• Strong understanding of scalable data platform design and pipeline reliability
• Ability to work in a fast-moving engineering environment with a platform-first mindset