In short

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

You will act as an enabler for other data engineers and data analysts by providing guidance on architectural and design decisions, supporting the tech teams responsible for product master data’s modeling efforts while evangelizing and encouraging our best practices and governance policies.

Lastly you will act as a point of contact for one or more business teams and collaborate with the stakeholders within that team/function to create relevant data products to enhance the data quality of the product master data and its adoption at On.

Your Mission

As On is growing, so are our data needs. Here, you'll play an important role in shaping the data roadmap while optimizing existing and new data products. You will collaborate closely with fellow data engineers as well as data analysts in the functions to develop our Data Products further.

What your first 6 months at On might look like:

1 month:

  • Get to know the data landscape and introduce yourself to various 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:

  • Introduce a new data source or feature to our codebase.
  • Act as a subject matter expert in a business function’s data engineering efforts.

6 months:

  • Introduce a significant data product 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 a working knowledge of data warehousing, data modeling and ELT concepts, and are experienced in SQL programming.
  • You have strong programming skills in Python, Scala or equivalent
  • You have experience with modern data tools (our data stack is built on GCP and uses BigQuery, Airflow, dbt, Looker & Hex).
  • You have experience with software engineering concepts including: git, testing, debugging, research, technical problem solving.
  • You have excellent communication skills and can translate business requirements into data solutions.
  • You have experience mentoring other data engineers, data analysts and data scientists and increasing data literacy in less technical teams.
  • You have a curious mind and a passion for continuous learning.

Bonus:

  • You have experience working with product master & lifecycle data technologies
  • You have experience working with infrastructure as code tools (we use Terraform).
  • You have experience in data observability and in distributed data ownership

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

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About the Team

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

You will be joining a team of data engineers who take care of the company’s data needs across most of the organization. We are working in smaller workstreams of data engineers, data analysts and stakeholders to deliver valuable data products for the company.

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

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.