Data Engineer
Rolex seeks a Data Engineer in Geneva, Switzerland, to enhance its Data Platform. Join a prestigious brand and work on innovative data solutions.
Overview
Rolex, a prestigious name in the luxury watchmaking industry, is renowned for its commitment to excellence and innovation. As part of its dedication to maintaining superior standards, Rolex offers a dynamic and stimulating work environment. The company is part of a larger conglomerate that emphasizes quality and precision in all its endeavors, providing employees with unparalleled opportunities for professional growth and development.
Role & Responsibilities
- Support Data Science and Analytics teams in industrializing their use cases.
- Design, deploy, and maintain robust data pipelines.
- Develop, implement, and automate data quality validation controls.
- Participate in the implementation of cloud solutions (Snowflake, Azure, GCP) for data environments.
- Optimize resource consumption and costs.
- Promote the extension of the 'As A Service' aspect of the data platform.
- Collaborate with Infrastructure, Cloud, and Security teams to ensure alignment with Rolex's standards and requirements.
- Provide level 3 support.
Qualifications
- Advanced degree in computer science or engineering.
- Significant experience in data engineering.
- Deep understanding of data quality principles and methods.
Skills
Experience
Significant experience in data engineering, with a focus on data quality and cloud solutions.
Education
Advanced degree in computer science or engineering.
Benefits
Rolex offers a stimulating environment, excellent working conditions, flexible working time solutions, and top-tier social benefits.
Culture
Rolex fosters a culture of precision, innovation, and excellence. The workplace environment is dynamic and supportive, encouraging professional development and teamwork. Employees are valued for their contributions and are provided with opportunities to excel in their careers.