Website comparis.ch
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🌟 About This Opportunity
comparis.ch is hiring a Data Engineer to help build and optimize large-scale cloud-based data systems supporting AI-driven products and analytics initiatives.
This remote engineering opportunity is ideal for professionals experienced in Google Cloud Platform (GCP), modern data pipelines, SQL, cloud infrastructure, and scalable data platforms who enjoy working on high-impact data and AI projects.
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🏢 About comparis.ch
comparis.ch is one of Switzerland’s leading online comparison and marketplace platforms, helping millions of users compare services across insurance, banking, telecom, real estate, and automotive sectors.
The platform focuses on improving transparency and helping users make informed decisions through large-scale digital comparison tools and data-driven customer experiences. With millions of annual users, comparis.ch continues investing heavily in modern cloud infrastructure, AI-powered data products, and scalable analytics systems.
💼 About the Role
As a Data Engineer, you will help design, build, and maintain scalable cloud-based data platforms using modern Google Cloud technologies.
You will collaborate with data scientists, software engineers, architects, and business teams to create reliable data pipelines, improve data infrastructure, and support AI-driven analytics products.
This role is ideal for engineers who enjoy cloud-native technologies, distributed data systems, automation, and building high-quality data solutions in collaborative Agile environments.
🔧 Key Responsibilities
- Design and optimize cloud-based data platforms
- Build and maintain scalable data pipelines
- Develop and monitor data products and workflows
- Support data lake and data warehouse infrastructure
- Collaborate with engineers, analysts, and data scientists
- Improve pipeline orchestration and automation systems
- Write high-quality and maintainable code
- Support CI/CD and infrastructure automation workflows
- Contribute to AI-driven and analytics-focused initiatives
- Help improve platform scalability and reliability
✅ Requirements & Skills
Required Qualifications
- Strong SQL programming experience
- Experience with dbt and modern data transformation workflows
- 3+ years of experience in data engineering or data platform environments
- Strong experience with Google Cloud Platform (GCP)
- Familiarity with:
- BigQuery
- Cloud Run
- Dataflow
- Dataproc
- Experience with Airflow pipeline orchestration
- Experience with:
- Docker
- Terraform
- CI/CD workflows
- Git
- Experience developing software using Python or Java
- Strong analytical and problem-solving abilities
- Ability to work independently in remote Agile environments
Nice to Have
- Experience with Apache Spark
- Familiarity with machine learning concepts or frameworks
- Experience building AI-driven data products
- Knowledge of distributed computing technologies
- Interest in cloud-native data infrastructure and automation
🌍 Work Environment & Benefits
✨ Fully remote work flexibility
✨ Opportunity to shape a growing data engineering team
✨ Collaborative AI and analytics-focused environment
✨ Agile and autonomous work culture
✨ Exposure to modern cloud and AI technologies
✨ International technology and data projects
✨ Opportunity to work on products used by millions of users
🔍 Career Insight & Industry Trends
Data Engineers with expertise in GCP, BigQuery, Airflow, cloud-native data infrastructure, and AI-driven analytics systems are increasingly valuable across technology, SaaS, fintech, and marketplace platforms.
Organizations are actively investing in engineers who can combine scalable cloud architecture, data orchestration, infrastructure automation, and machine learning support systems to build modern AI-powered products and analytics ecosystems.
🎯 Relevant Career Searches
This opportunity may be ideal for candidates searching for:
- Remote Data Engineer Jobs
- GCP Data Engineering Careers
- BigQuery Engineer Roles
- Cloud Data Platform Jobs
- AI Data Infrastructure Careers
- Airflow Data Pipeline Engineer Jobs
- Remote Analytics Engineering Opportunities
- Distributed Data Systems Careers
📩 How to Apply
Official Application Link:
https://en.comparis.ch/people/jobs/detail/2571766
📌 Important Note
Applications are processed directly through the employer’s official website.
WorkinVirtual does not manage or process applications on behalf of employers.