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Senior Data Engineer (GCP / dbt / Looker)(m/w/x)
Building and optimizing scalable data pipelines for diverse client projects, including rigorous historization. Proficiency in SQL, ETL/ELT architecture, and BigQuery experience required. International collaboration with diverse client projects.
Requirements
- 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
- Strong business acumen and attention to detail
- Ability to simplify complex data flows for commercial stakeholders
- Fluency in English
- Fluency in 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- French – Basic
- German – Basic
Tools & Technologies
- SQL
- dbt
- Google Cloud Platform (BigQuery)
- Looker
- LookML
- Anaplan
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Senior Data Engineer (GCP / dbt / Looker)(m/w/x)
Building and optimizing scalable data pipelines for diverse client projects, including rigorous historization. Proficiency in SQL, ETL/ELT architecture, and BigQuery experience required. International collaboration with diverse client projects.
Requirements
- 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
- Strong business acumen and attention to detail
- Ability to simplify complex data flows for commercial stakeholders
- Fluency in English
- Fluency in 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- French – Basic
- German – Basic
Tools & Technologies
- SQL
- dbt
- Google Cloud Platform (BigQuery)
- Looker
- LookML
- Anaplan
About the Company
Artefact
Industry
Consulting
Description
Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI.
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