Staff Data Engineer

Salary: CHF 95’000 - 125’000 per year

Requirements:

• Deep Understanding of Data Platform Technologies: You possess a strong understanding of data processing concepts, architectures, and technologies for batch and analytical workloads. You are proficient in at least one major data processing framework (e.g., Spark) and have experience building and maintaining production-level data pipelines and platform components.
• Data Governance and Discoverability: You understand the importance of data governance and have experience with or a strong interest in data catalog tools and practices to improve data discovery, metadata management, and data lineage within the platform.
• Cloud and Platform Expertise: You are familiar with data platform solutions on cloud-based platforms (e.g., GCP BigQuery, AWS Redshift, Snowflake, Databricks) and have experience with infrastructure as code and platform management.
• Communication and Collaboration: You have exceptional communication and interpersonal skills, enabling you to build strong relationships with stakeholders across the organization.

Responsibilities:

• Design and Develop Scalable Infrastructure: Lead the design, development, and implementation of a robust and scalable data platform to support On's growing data needs. This includes technologies and concepts like data warehousing, data lakes, ETL frameworks, distributed processing systems (e.g., Spark), and data modeling (dbt).
• Ensure Data Quality and Reliability: Implement processes and tools to ensure the quality, reliability, and availability of data pipelines and the data platform infrastructure.
• Collaborate and Mentor: Work closely with data engineers, data scientists, and other teams to integrate various data solutions into On's data ecosystem. Mentor engineers and share your expertise.
• Embrace New Technologies: Stay abreast of the latest advancements in data platform technologies and contribute to the continuous improvement of On's data platform.

Technologies:

• AWS
• BigQuery
• Cloud
• Databricks
• ETL
• GCP
• Support
• Snowflake
• Spark
• dbt

More:

You will be part of a talented and diverse team of data engineers, data scientists, and product managers focused on building and revolutionizing the use of the data platform across the organization. We are building innovative data solutions to optimize internal processes, enhance customer experiences, and drive business growth.

On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically - to stay active, to learn, explore, and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose.

On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.