At Swile, we believe that good products can help reduce friction in daily professional life and boost employee satisfaction. Today, we provide innovative solutions in various areas such as Fintech, Travel, HR, and Employee Benefits to more than 5.5 million users in 85,000 companies in France and Brazil.
As a Senior Data Engineer, your primary role is to design and build impactful software data products. This involves driving the technical direction of projects, improving processes, and ensuring the successful delivery of goals and roadmaps. Additionally, you’ll contribute to creating a sustainable engineering environment that supports long-term growth and innovation.
Contribute to defining and evangelizing the data architecture vision to empower engineers in processing data both in batch and real-time consumption (EDA & APIs).
Bring patterns and associated best practices and support innovation teams in implementing them pragmatically.
Participate in technical decision-making
Develop and maintain a robust Data Platform to enable the ingestion and availability of data
Manage our SaaS tools (Stitch, Snowflake, etc.) and contribute to our self-hosted K8S infrastructure (Airflow, Kafka, etc.)
Ensure the data processing pipeline
Apply best coding practices to support codebase growth without increasing technical debt (version control, testing, refactoring, etc.)
Document code and processes to share knowledge within the Engineering team
You do not need to be familiar with our technical stack or any specific functional area, but we have a strong willingness to learn and adapt quickly.
Ruby/Rails, Typescript/React/Node.js
Android(Kotlin), iOS(Swift)
AWS/Kubernetes, PostgreSQL, Kafka, Redis, Snowflake
An opportunity to integrate a dynamic team of talented engineers.
A collaborative work environment that values innovation and creativity.
Competitive salary and benefits package.
Professional development and career growth opportunities.
Solid background in software engineering
Experience with Kafka and event-driven architectures, including designing, deploying, and managing real-time data streaming architectures to enable scalable and responsive systems
Extensive experience working with modern datax( and cloud technologies, including Snowflake, Terraform, Airflow and DBT (data build tool)
Proven ability to design, deploy, and optimize robust data pipelines using these tools to drive data-driven decision-making
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.
Meet with one of our our Tech Recruiters (30 to 45 minutes)
Meet with your future manager (1h)
Code live interview with one of our Staff Engineers (1h)
Architecture Design live interview with another one of our Staff Engineers (1h)
Interview with our VP of Engineering or CTO (1h)
Ces entreprises recrutent aussi au poste de “Données/Business Intelligence”.
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