On Running

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).