Data Platform Engineer

Salary: CHF 95’000 - 125’000 per year

Requirements:

• You have programming skills in Python, with experience in building scalable, low latency data processing applications.
• You have experience working with data infrastructure, storage, data pipelines, observability and workflow orchestration in distributed cloud environments.
• You are knowledgeable and experienced in SQL programming.
• You have experience with software engineering concepts including: git, testing, debugging, technical problem solving.
• You have experience with data warehousing, modeling and ELT concepts.
• You are proactive and communicative.
• You are enthusiastic about innovating, excited to continuously learn and comfortable with ambiguity.
• You are curious and like to keep up with existing and new technology trends in the data space.
• Bonus:
• Experience with modern data tools (our data stack is based on GCP and we use BigQuery, Airflow, dbt, Looker & Hex).
• You have experience working with containerization and orchestration technology (Docker, Kubernetes).
• You have been actively involved in designing, building, and maintaining scalable, high-performance data pipelines to power real-time customer data analytics and insights.
• You have experience with Infrastructure as Code tooling (we use Terraform).

Responsibilities:

• Contribute to building out the data platform that is used across the company for reporting needs and ML/AI efforts.
• Develop and maintain new ways of ingestion or consumption of data, automate builds and deployments using CI/CD, and onboard new services.
• Act as an enabler for other data engineers and data science teams by providing guidance on architectural and design decisions and supporting their data modeling efforts.
• Collaborate closely with fellow data engineers, data scientists, and technology teams across the company.

Technologies:

• AI
• Airflow
• BigQuery
• CI/CD
• Cloud
• Docker
• GCP
• Git
• Kubernetes
• Looker
• Python
• SQL
• Terraform
• dbt

More:

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.

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 to ensure 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 opportunities to simplify and streamline data management systems and processes.

The data platform team is responsible for building, maintaining, and growing internal data platforms, systems, and processes that empower everyone at On to impact business outcomes by making informed decisions.

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.