Description

In this role, you will be at the forefront of data engineering, focusing on building and optimizing data pipelines while collaborating with global teams to create impactful data solutions. Your expertise will enhance reporting and ensure data quality, making a significant difference in strategic initiatives.

Requirements

• •Builder's mindset and ability to bridge technical architecture and business value
• •Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
• •Proficiency in SQL and dbt
• •Hands-on experience with Google Cloud Platform (BigQuery)
• •Solid understanding of ETL/ELT processes and pipeline architecture
• •Working knowledge of Looker and LookML for data visualization
• •Strong business acumen and attention to detail
• •Ability to simplify complex data flows for stakeholders
• •Fluency in English
• •French or German is a strong plus
• •Familiarity with Anaplan data logic or experience with commercial/distribution data domains
• •Eligibility to work in Switzerland

Tasks

• •Design and build scalable data pipelines using dbt and SQL on GCP (BigQuery)
• •Maintain and optimize existing data pipelines for performance
• •Implement rigorous data historization processes
• •Collaborate with international business teams to translate complex requirements into technical data solutions
• •Participate in design workshops and advise on data structure and integration approaches
• •Support the development and enhancement of reports in Looker using LookML
• •Ensure data accessibility and intuitiveness for end-users across global markets
• •Deliver high-quality technical and functional documentation
• •Conduct regular audits of data flows for accuracy and completeness
• •Propose innovative solutions to maximize the value extracted from raw data

Tools & Technologies