Data Engineer, 80-100% (f/m/x), remote
Role Overview
This mid-to-senior Data Engineer role involves designing, implementing, and optimizing data platform services on GCP, including developing high-quality code for data pipelines and maintaining data orchestration, datalake, and warehouse systems. The hire will work in an agile, interdisciplinary team with software architects, data scientists, and business analysts to define data needs and provide solutions, contributing to AI-driven data products and enabling better organizational decisions.
Perks & Benefits
The position offers full remote work with flexibility (80-100%), though applicants should be within +/- 2 hours of Switzerland's time zone (GMT+2). You'll join a growing, highly motivated Data Team that values autonomy, agile methods, and diverse expertise, with opportunities to shape the team and work on own data initiatives in a supportive, innovative environment.
Full Job Description
Headquarters: Zuerich URL: https://en.comparis.ch/
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).
To apply: https://weworkremotely.com/remote-jobs/comparis-ch-data-engineer-80-100-f-m-x-remote
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