Data Engineer, 80–100% (f/m/x) — Fully Remote
Apply NowFor almost 30 years, comparis.ch has been Switzerland’s leading comparison platform. Comparis compares prices and services from health insurers, insurance providers, banks, and telecom companies, and operates Switzerland’s largest online marketplaces for real estate and cars.
Through comprehensive comparisons, Comparis creates transparency and helps users make the right decisions for their needs. With more than 80 million visitors per year, Comparis is one of the most widely used websites in Switzerland — known and trusted by nine out of ten people as Switzerland’s independent comparison platform.
You’ll be joining a highly motivated, growing team of diverse experts. The team’s main mission is to build AI-driven data products that deliver a highly relevant customer experience, while providing everyone across the organisation with the tools and knowledge to make better, more informed decisions.
The team works with agile methods in interdisciplinary squads and highly values autonomy. There is real space for your own data and engineering initiatives — this isn’t just a maintenance role.
- Design, implement, and continuously optimise platform services on a modern, industry-standard GCP-based data environment
- Interact with software architects and engineers, data scientists, and business analysts in an agile environment to define data needs and provide solutions
- Develop a high-quality code base for data pipelines
- Develop, provision, and monitor data products
- Maintain data pipeline orchestration, datalake, and data warehouse
- Bring your own ideas — there is room for independent data and engineering initiatives
- Knowledgeable and experienced in SQL programming and dbt
- At least 3 years of experience in a similar data science or engineering environment, with a strong track record of data projects on Google Cloud Platform
- Experience with GCP native services — BigQuery, Cloud Run, Dataproc, and Dataflow highly appreciated
- Experience developing high-quality software including unit and integration tests in Python or Java, leveraging CI/CD tools and Git
- Experience managing data pipeline workflows with Airflow
- Experience with containerisation (Docker) and infrastructure-as-code frameworks (Terraform)
- Experience with distributed computing technologies like Apache Spark
- Knowledge of ML concepts and frameworks
- Open to new technologies and willing to take on fresh challenges
- Comfortable working autonomously in an agile, interdisciplinary team
- Self-motivated with an appetite to drive your own initiatives beyond the day-to-day
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