🛠️ Data Engineer

• 🏗️ Scale and strengthen our data infrastructure • Lead the evolution of our data stack to ensure scalability, reliability, and cost efficiency. • Anticipate growth in data volume, complexity, and use cases, and design systems that scale accordingly. • Define and implement long-term technical standards for the data platform. • 🔄 Design and maintain robust data pipelines • Build and maintain reliable data pipelines to ingest data from internal systems, APIs, and external tools. • Centralize and factorize pipelines within an orchestration tool, ensuring clear dependencies and monitoring. • Ensure pipelines are resilient, observable, and easy to maintain. • 📊 Enable scalable analytics and data modeling • Support Data Analysts by improving dbt project structure, factorizing models, and strengthening transformation quality. • Ensure data models are scalable, maintainable, and aligned with analytics and business needs. • ✅ Ensure data quality, reliability & observability • Implement data testing, monitoring, alerting, and freshness checks. • Own the reliability of data used by stakeholders, ensuring trust in dashboards and analyses. • Proactively identify and resolve data issues in production. • 🤖 Bring ML & AI solutions into production • Deploy machine learning and AI solutions into production environments. • Ensure deployments are robust, scalable, and maintainable, delivering real business value beyond experimentation. • 🤝 Collaborate and share knowledge • Work closely with Data Analysts and stakeholders to ensure the data stack empowers teams effectively. • Define and enforce data access and governance best practices. • Document pipelines, models, and workflows to support onboarding and long-term autonomy. • In your first 3 months, you’ll be expected to: • Be fully onboarded on our data stack (Snowflake, DBT, Fivetran, Metabase…). • Gain a deep understanding of Staycation’s business model, data flows, and current challenges. • Take ownership of at least one key data pipeline. • Improve reliability or observability of existing data processes. • Build strong working relationships with the Data Analysts and key stakeholders. • In your first 12 months, you’ll be expected to: • Be recognized as the go-to person for data infrastructure and reliability. • Have significantly improved the scalability and robustness of the data platform. • Have implemented strong data quality and monitoring standards across the stack. • Successfully supported analytics scalability and at least one ML/AI use case in production. • Played a key role in structuring documentation, standards, and best practices for the data team. • This position is based in Paris, 20th district, with a hybrid work setup (up to 2 days remote per week).