Data Analytics Engineer

Join Doodle as an Analytics Engineer, where you will own the analytics platform that enables self-service insights across the company. You will design, build, and maintain scalable analytics data models, develop reliable transformation pipelines, and ensure data quality and governance. You will work closely with various teams, translate business questions into actionable insights, and influence product and business decisions through reliable and accessible data.

• Conception, construction et maintenance de modèles de données analytiques évolutifs.
• Développement de pipelines de transformation fiables qui convertissent les données brutes en ensembles de données prêts à l'emploi.
• Responsabilité de la performance, de la fiabilité et de l'amélioration continue de la plateforme d'analyse de Doodle.
• We are looking for an Analytics Engineer who combines strong engineering fundamentals with a product mindset and a passion for building trusted, scalable analytics platforms
• Experience orchestrating modern data pipelines using Airflow or similar workflow tools
• Advanced SQL skills with experience working on large analytical datasets
• Experience working with cloud data warehouses such as Amazon Redshift. Experience with Athena or Spark is an advantage
• Strong experience building analytics data models using dbt or similar transformation frameworks
• Strong Python skills for data processing and automation
• Familiarity with experimentation frameworks and product analytics
• Good understanding of dimensional data modelling, database design, and analytics engineering principles
• Strong problem solving skills with excellent attention to detail
• Quality first mindset with experience in testing, documentation, version control, and CI
• Passion for building reliable, scalable, and maintainable analytics platforms
• Enjoy collaborating in a fast moving SaaS environment
• Comfortable working across Engineering, Product, Analytics, and business teams
• Excellent communication skills with the ability to explain technical concepts to both technical and non technical stakeholders
• Experience with pandas or similar Python data processing libraries
• Experience supporting Product Led Growth organizations
• Experience building semantic layers or self service analytics platforms
• Experience with product analytics tools such as Amplitude, Mixpanel, or GA4
• Experience working in a modern B2B SaaS environment