Data Engineer, 80-100% (f/m/x)
Indexed description
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
- 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
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).
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