Senior Data Platform Engineer (copy)

📋 Description

• Design and improve the tools and platforms that empower engineering teams to build and run their
• Ship AI tooling (Skills, MCP) as part of the platform, to help teams design, build and run their
• Contribute to our batch processing (Airflow, dbt) and event-driven architecture (Kafka)
• Define, document and promote standards and best practices
• Help teams adopt our tools and practices, and grow their skills
• Evangelize the platform vision and build relays across teams, in France and Brazil

🎯 Requirements

• Have solid experience in data engineering or platform engineering, with a good software engineering
• Have strong expertise in one area (data, infrastructure, software, EDA/streaming, developer
• Have worked with some of these: Python, Ruby, Airflow, Kafka, Snowflake, dbt, Terraform
• Are autonomous, communicate clearly, and enjoy collaborating with and supporting other teams
• Are curious about new tools and practices, including AI (no expertise required)
• Speak good English (we work daily with our teams in Brazil)

🎁 Benefits

• An opportunity to integrate a dynamic team of talented engineers.
• A broad role with direct impact on how many teams work at Swile.
• Competitive salary and benefits package.
• Professional development and career growth opportunities.