3+ years in data engineering/science with a track record of data projects on Google Cloud Platform (GCP)
Experience with Airflow for managing data pipeline workflows
Software development in Python or Java with unit/integration tests and CI/CD using Git
Requirements:
Design, implement and optimize platform services in a GCP-based data environment
Collaborate with architects/engineers/data scientists and analysts in agile to define data needs and provide solutions
Develop a high-quality code base for data pipelines, including development, provisioning and monitoring of data products
Maintain data pipeline orchestration, data lake and data warehouse; pursue own data engineering initiatives
Job description
About us
For almost 30 years, comparis.ch has been Switzerland’s leading comparison platform. We have been comparing prices and services from health insurers, insurance providers, banks, and telecom companies, among others, and we operate Switzerland’s largest online marketplaces for real estate and cars. Through comprehensive comparisons, we create transparency and help our users make the right decisions for their needs. With more than 80 million visitors per year, we are one of the most widely used websites in Switzerland. Nine out of ten people know us as Switzerland’s independent comparison platform.
What you will do
Design, implement and continuously optimize platform services on our modern industry standard GCP based data environment
Interacting with our software architects/engineers, data scientists and business analysts in an agile environment to define data needs & provide solutions
Developing a high-quality code base for our data pipelines
Development, provisioning and monitoring of our data products
Maintenance of our data pipeline orchestration, datalake and data warehouse
...room for own data & engineering initiatives
What we expect from you
You are knowledgeable and experienced in SQL programming and dbt
At least 3 years of experience in a similar data science/engineering environment with a strong track record of data projects on Google Cloud Platform (GCP)
Experience with GCP native services like BigQuery, Cloud Run, Dataproc, and Dataflow highly appreciated
Experience in developing high-quality software incl. unit & integration tests in one or more languages (such as Python or Java) while leveraging CI/CD tools and Git.
You have experience with managing data pipeline workflows with Airflow
Experience working with containerization (Docker) and infrastructure as a code frameworks (Terraform)
Having worked with distributed computing technologies like Apache Spark and knowledge of ML concepts/frameworks is a strong plus
You are open for new technologies and challenges
In return, here is what you can expect from us
You have the chance to join - and shape - a growing Data Team. We are a highly motivated team of diverse experts. Our main mission is to build AI-driven data products to offer our users a highly relevant customer experience. Furthermore, our job is to provide everyone in the organization with the necessary tools and knowledge to make better, more informed decisions. We work with agile methods in interdisciplinary teams and highly value autonomy. This position is to be filled remotely.
Have we triggered your interest?
Then don't hesitate and apply for our position today. If you have any questions, Simone, our People Business Partner, will be happy to help. We look forward to receiving your application!
Note: This position offers the flexibility to work fully remotely. If you opt for a remote set-up, we kindly ask that you consider applying only if your time zone is within a maximum difference of +/- 2 hours from Switzerland (GMT +2).
