Senior Data Platform Engineer
Swile · Paris, France
Descrição da vaga
As a Senior Data Platform Engineer, your mission will be to:
• Design and improve the tools and platforms that empower engineering teams to build and run their own data pipelines
• Ship AI tooling (Skills, MCP) as part of the platform, to help teams design, build and run their data products
• 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
✨It will be a perfect match if you:
• Have solid experience in data engineering or platform engineering, with a good software engineering culture
• Have strong expertise in one area (data, infrastructure, software, EDA/streaming, developer tooling) and are curious to learn the others
• 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)
• You are a future responsible swiler: you share our commitment to the environment, diversity, fairness and inclusion and are prepared to work every day to improve individual and collective performance.
📓 One thing worth to be mentioned
We welcome people from entrepreneurial backgrounds as well as from established organizations. A platform, infrastructure or software background is just as relevant as a pure data engineering one. At Swile, we believe that delivering impactful products requires engineers to understand the needs of users and clients as well as the code itself.
⚒️ Our tech stack
• Ruby/Rails, Typescript/Node.js
• Terraform/Terragrunt, Python, SQL, dbt
• AWS/Kubernetes, PostgreSQL, Kafka (MSK), Airflow (MWAA), Snowflake
💡What’s in it for you ?
• 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.
• Design and improve the tools and platforms that empower engineering teams to build and run their own data pipelines
• Ship AI tooling (Skills, MCP) as part of the platform, to help teams design, build and run their data products
• 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
✨It will be a perfect match if you:
• Have solid experience in data engineering or platform engineering, with a good software engineering culture
• Have strong expertise in one area (data, infrastructure, software, EDA/streaming, developer tooling) and are curious to learn the others
• 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)
• You are a future responsible swiler: you share our commitment to the environment, diversity, fairness and inclusion and are prepared to work every day to improve individual and collective performance.
📓 One thing worth to be mentioned
We welcome people from entrepreneurial backgrounds as well as from established organizations. A platform, infrastructure or software background is just as relevant as a pure data engineering one. At Swile, we believe that delivering impactful products requires engineers to understand the needs of users and clients as well as the code itself.
⚒️ Our tech stack
• Ruby/Rails, Typescript/Node.js
• Terraform/Terragrunt, Python, SQL, dbt
• AWS/Kubernetes, PostgreSQL, Kafka (MSK), Airflow (MWAA), Snowflake
💡What’s in it for you ?
• 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.
Como se candidatar
Revise os requisitos e use o botão “Candidatar-se” para acessar os contatos informados pela empresa. O Vagas Diárias não recebe currículos e não cobra taxas de candidatos.