Senior Data Engineer (Product Master Data)

En tant qu'ingénieur de données senior, vous concevrez des modèles de données.

Tâches

• Construire des pipelines de données et automatiser les déploiements CI/CD.

• Agir comme un mentor pour les autres ingénieurs de données et analystes.

• Collaborer avec les équipes pour améliorer la qualité des données.

Compétences

• Expérience en ingénierie des données et en SQL requise.

• Compétences en modélisation et gestion de données essentielles.

• Excellentes compétences en communication et en collaboration.

In short
As a senior data engineer you’ll drive the design of data models, build data pipelines, automate builds and deployments using CI/CD, decipher APIs, while leveraging SQL to provide clean, tested, documented and well-defined data.
You will act as an enabler for other data engineers and data analysts by providing guidance on architectural and design decisions, supporting the tech teams responsible for product master data’s modeling efforts while evangelizing and encouraging our best practices and governance policies.
Lastly you will act as a point of contact for one or more business teams and collaborate with the stakeholders within that team/function to create relevant data products to enhance the data quality of the product master data and its adoption at On.
Your Mission
As On is growing, so are our data needs. Here, you'll play an important role in shaping the data roadmap while optimizing existing and new data products. You will collaborate closely with fellow data engineers as well as data analysts in the functions to develop our Data Products further.
What your first 6 months at On might look like:
1 month:
• Get to know the data landscape and introduce yourself to various 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:
• Introduce a new data source or feature to our codebase.
• Act as a subject matter expert in a business function’s data engineering efforts.

6 months:
• Introduce a significant data product to our systems.
• Seek out for opportunities to simplify and streamline data management systems and processes.