Data Platform Engineer

En tant qu'ingénieur de plateforme de données, vous jouerez un rôle clé. Vous contribuerez à bâtir une plateforme de données pour nos besoins en reporting et en IA.

Tâches

• Développer de nouvelles méthodes d'ingestion et de consommation de données.

• Automatiser les builds et déploiements en utilisant CI/CD.

• Accompagner les équipes de data science et d'ingénierie dans leurs efforts.

Compétences

• Expérience en ingénierie des données et en architecture de systèmes.

• Connaissance des pratiques de gouvernance des données.

• Capacité à collaborer avec des équipes multidisciplinaires.

In short
As a data platform engineer you’ll contribute to building out the data platform that is used across the company for our reporting needs and ML/AI efforts. You’ll develop and maintain new ways of ingestion or consumption of data, automate builds and deployments using CI/CD and onboard new services.
You also act as an enabler for other data engineers and data science teams by providing guidance on architectural and design decisions, supporting their data modeling efforts and evangelizing and encouraging our best practices and governance policies.
Your Mission
As On is growing, so are our data needs. Here, you'll play an important role in shaping the future of the data platform by introducing new features and ensuring the high quality of the data platform. You’ll collaborate closely with fellow data engineers as well as data scientists and technology teams across the company.
What your first 6 months at On might look like:
1 month:
• Get to know the data landscape and introduce yourself to various data teams you will be interacting with
• Pick up and resolve your first change request
• Participate in code reviews making sure that our code is well designed, tested, robust, secure, compliant, performant and readable

3 months:
• Implement a new service or feature to our codebase
• Act as a subject matter expert in supporting other data engineering efforts

6 months:
• Introduce an important architectural improvement to our systems
• Seek out for opportunities to simplify and streamline data management systems and processes