In short

As a data engineer you’ll design data models, build data pipelines, automate builds and deployments using CI/CD, decipher APIs, and leverage SQL to provide timely, clean, tested, documented and well-defined data.

You also act as an enabler for other data domain 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

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 domain teams 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

  • Working knowledge of building robust, fault-tolerant data ingestion and processing pipelines using technologies like Apache Kafka, Apache Beam, or similar
  • Strong programming skills in Python, Scala, or Java, with experience in building scalable, low latency data processing applications
  • You are knowledgeable and experienced in SQL programming
  • Experience with software engineering concepts/skills - git version control, testing, debugging, research, technical problem solving, continuous learning
  • You have experience with data warehousing, data modeling and ELT concepts
  • You have experience working with data infrastructure, storage, APIs, data pipelines, observability and workflow orchestration in distributed cloud environments
  • You are proactive and communicative
  • You are comfortable managing multiple concurrent tasks and have the capacity and willingness to completely own their lifecycle with minimal oversight
  • You work organized and agile, focusing on reproducibility and scalability in a dynamic business context
  • 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) and infrastructure as a code frameworks (Terraform, Helm)
  • You have been actively involved in designing, building, and maintaining scalable, high-performance data pipelines to power real-time customer data analytics and insights

Tech Stack: https://stackshare.io/on/bi-team

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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

    Technical Product Team, Zürich

    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 Juneja

    Engineering, Berlin

    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

We offer a dynamic, challenging and sportive environment that has been ranked as the ‘fastest growing sports company’ of its time. With offices across the globe, we are an international team who is hungry to innovate and build something incredible. We foster an active environment where each individual thrives for excellence and can achieve their full potential. This is where your work matters, you’re hands-on and your team members are amongst the very best in their respective disciplines and fields. If you are driven to bring On to the next level, curious about the opportunity and want to be part of our growing team send us your application, and join the ONiverse! If you don’t fulfill all the requirements above, but you think you would be a great fit, please apply! We are looking for talented people and our tech stack is not immutable so we welcome your perspectives and will embrace them.

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.