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
Group of girls smiling
  • Man and woman sat at desks talking
  • Open planned office with men and women sat on a a large curved sofa
  • Group of runners talking outside the office
  • A team of people sat on the steps with a view of mountains outside the office.
  • Two women smiling at each other in a meeting room with large curved windows
  • A group of people sat around a table looking at large design papers
  • 3 men sat around with laptops smiling at each other
  • a large group of runners holding an On flag smiling at the camera
  • Man and woman sat at desks talking
  • Open planned office with men and women sat on a a large curved sofa
  • Group of runners talking outside the office
  • A team of people sat on the steps with a view of mountains outside the office.
  • Two women smiling at each other in a meeting room with large curved windows
  • A group of people sat around a table looking at large design papers
  • 3 men sat around with laptops smiling at each other
  • a large group of runners holding an On flag smiling at the camera
  • Man and woman sat at desks talking
  • Open planned office with men and women sat on a a large curved sofa
  • Group of runners talking outside the office
  • A team of people sat on the steps with a view of mountains outside the office.
  • Two women smiling at each other in a meeting room with large curved windows
  • A group of people sat around a table looking at large design papers
  • 3 men sat around with laptops smiling at each other
  • a large group of runners holding an On flag smiling at the camera

Your story

  • 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).
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About the Team

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.

See more
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A man in a blue shirt and a white t-shirt with a headset on is standing with his arms crossed and holding his chin looking into the distance

Explorer

Explorer

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Our team exists to think differently. Wild curiosity and a thirst for knowledge keeps moving our tech forward. There are no boxes here. We’re always dreaming of what’s possible – and searching for new ways to get there. 

Learn about out Spirits
  • Portrait of a woman smiling in the On Zürich office

    Gioia

    Head of Operations Project Portfolio Management

    My journey has evolved for sure and, actually, change can lead to infinite possibilities. Those core values that were there when I joined are still here today and I really find them extraordinary every day.
  • A man standing in a modern office looking at the camera, smiling slightly.

    Vivek

    Director of Engineering

    We’re closely connected to the whole business. Every day, we’re making quick decisions to improve the customer experience. Because these live changes impact the whole business, we deeply respect individual opinion and what others think about the end customer experience.
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What we offer

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.

Build the better you

What to expect

We want to set everyone up for success, so here’s the lowdown on how we hire. Our process is a two-way street – bringing you into our culture, while helping us learn how you think.

Our full process can last about eight weeks from application to offer, because we care about getting it right. These steps explain how we usually do things.

Before you get started, feel free to consider if you want to work with us. Strange question? Well, we give people a lot of space to navigate their day-to-day and that style isn't for everyone. We want you to be passionate about what you do and be sure this is the right fit. Because when skills and passion combine – it creates that 'Wow' moment.