Data Platform Engineer

On; Zürich; Vor Ort; CHF 75’000 - 100’000; Vollzeit

Zusammenfassung

Une entreprise innovante recherche un Data Platform Engineer pour participer au développement de sa plateforme de données essentielle. Vous serez impliqué dans l'automatisation des processus de déploiement et la garantie d'une infrastructure de données de haute qualité, tout en collaborant avec des équipes de science des données. Ce rôle est idéal pour ceux qui souhaitent évoluer dans un environnement dynamique tout en apportant des solutions design et techniques.

Leistungen

Environnement de travail propice à l'innovation

Accès à des initiatives de bien-être physique et mental

Culture d'entreprise inclusive et équitable

Qualifikationen

• Compétences en Python et expérience dans le développement d'applications de traitement de données à faible latence.
• Expérience avec l'infrastructure de données, le stockage et les pipelines de données.
• Connaissance des concepts d'ingénierie logicielle, y compris le débogage et la résolution de problèmes techniques.

Aufgaben

• Contribuer à la construction et à la maintenance de la plateforme de données.
• Automatiser les builds et déploiements en utilisant CI/CD.
• Agir comme un facilitateur pour les équipes d'ingénierie des données.

Kenntnisse

Python

SQL

Data infrastructure

Data modeling

Git

Observability

Workflow orchestration

Technical problem solving

Tools

Docker

Kubernetes

Terraform

BigQuery

Airflow

dbt

Looker

Hex

Jobbeschreibung

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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.

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
  
  

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).
  
  

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.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Retail

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