Data Engineer – GCP, SQL, Data Pipelines | Remote (EU Time Zone) | Full-Time

Website comparis.ch

For 30 years, comparis.ch has been Switzerland’s leading comparison platform.

comparis.ch is hiring a Data Engineer to build and scale modern data systems that power millions of user decisions. This is a fully remote opportunity for professionals experienced in cloud data platforms and data pipeline development.

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About the Company

comparis.ch is Switzerland’s leading comparison platform, helping users evaluate services across insurance, banking, telecom, and marketplaces. With over 80 million annual visitors, the platform plays a key role in enabling informed consumer decisions through transparent data insights.


About the Role

As a Data Engineer, you will design and maintain scalable data infrastructure on Google Cloud Platform (GCP). You will collaborate with engineers, analysts, and data scientists to develop high-quality data pipelines and deliver reliable data products.

This role offers the opportunity to work in an agile environment, contributing to AI-driven data initiatives while improving the organization’s data capabilities.


Key Responsibilities

  • Design, build, and optimize data pipelines and platform services on GCP
  • Collaborate with cross-functional teams to define data requirements and solutions
  • Develop and maintain scalable data products and datasets
  • Manage data orchestration workflows and pipeline scheduling
  • Maintain and improve data lake and data warehouse systems
  • Ensure high-quality, reliable, and efficient data processing systems
  • Contribute to continuous improvements and new data initiatives

Requirements / Skills

  • Strong experience with SQL and dbt
  • Minimum 3 years of experience in data engineering or related roles
  • Hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Cloud Run, Dataproc)
  • Experience with programming languages such as Python or Java
  • Knowledge of CI/CD practices and version control (Git)
  • Experience with Airflow for workflow orchestration
  • Familiarity with Docker and infrastructure-as-code tools like Terraform
  • Understanding of distributed systems (e.g., Apache Spark) is a plus
  • Interest in machine learning concepts and data-driven applications
  • Strong problem-solving and communication skills

Work Environment / Benefits

  • Fully remote role with time zone alignment to Central Europe (±2 hours)
  • Opportunity to join and shape a growing data team
  • Work on AI-driven data products and modern cloud technologies
  • Agile work environment with high autonomy
  • Collaborative team culture with diverse expertise
  • Long-term career growth opportunities in data engineering

How to Apply

Apply directly through the official company page:
https://en.comparis.ch/people/jobs/detail/2571766


Note

Applications are handled directly on the employer’s website. We do not process applications on WorkinVirtual.

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