As part of its growth, our client is looking for an experienced Data Engineer to join its data team in Switzerland. You will contribute to the design, development, and optimization of modern data platforms supporting high-value business use cases.

Key Responsibilities

Design, develop, and maintain robust and scalable data pipelines
Build and manage ETL / ELT processes
Contribute to the architecture of data warehouses and data lakes
Ensure data quality, reliability, security, and availability
Optimize performance and cost efficiency of data processing
Collaborate closely with Data Analysts, Data Scientists, and business teams
Document data solutions and best practices

Profile

At least 5 years of experience as a Data Engineer or in a similar role
Strong proficiency in Python and SQL
Hands-on experience with data processing frameworks (e.g. Apache Spark)
Experience with orchestration tools (e.g. Airflow)
Solid experience working in Cloud environments (AWS, GCP, or Azure)
Strong understanding of modern data architectures
Fluent in English and French, both written and spoken

Nice to Have

Knowledge of CI/CD pipelines and DevOps best practices
Experience working in agile environments
Strong analytical mindset and problem-solving skills
Ability to work independently and collaboratively

What’s on Offer

Challenging and impactful data projects
Modern technical environment
Collaborative and international teams
Attractive working conditions in Geneva