9 days ago
Paris, FranceSenior
Responsibilities
- Design and improve tools and platforms that enable engineering teams to build and operate their own data pipelines.
- Ship AI tooling, including Skills and MCP, as part of the data platform.
- Contribute to batch processing with Airflow and dbt and event-driven architecture with Kafka.
- Define, document, and promote engineering standards and best practices.
- Help teams adopt platform tools and practices and grow their technical skills.
- Evangelize the platform vision and build collaboration across teams in France and Brazil.
Requirements
- Solid experience in data engineering or platform engineering with a strong software engineering culture.
- Strong expertise in at least one area such as data, infrastructure, software, event-driven architecture and streaming, or developer tooling.
- Experience with some of Python, Ruby, Airflow, Kafka, Snowflake, dbt, and Terraform.
- Autonomy, clear communication, and enjoyment of collaboration and supporting other teams.
- Curiosity about new tools and practices, including AI; AI expertise is not required.
- Good English communication skills.
Benefits
- Dynamic team of talented engineers.
- Broad role with direct impact on how teams work at Swile.
- Competitive salary and benefits package.
- Professional development and career growth opportunities.
Tech Stack
Apache AirflowApache KafkaAWSdbtKubernetesNode.jsPostgreSQLPythonRubyRuby on RailsSnowflakeSQLTerraformTypeScript
Categories
Data EngineeringDevOps
About Swile
Swile builds an all-in-one employee benefits card and a companion app used by employers to manage meal, gift, and mobility perks and team engagement. It earns revenue from employer-paid benefits programs and software, combining payments with features like peer recognition, surveys, and collections. Founded in 2016 and headquartered in Paris, it operates in France and Brazil, rebranded from Lunchr, and closed a Series D financing in 2021.