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Artefact is seeking a Senior Data Engineer skilled in GCP, dbt, and Looker to support high-stakes projects for a major global client. The ideal candidate will possess strong technical capabilities and business acumen, with a focus on developing scalable data pipelines and ensuring data visibility.
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Job Summary
Design and build scalable data pipelines using dbt and SQL on GCP (BigQuery), maintaining existing pipelines, optimizing for performance, and implementing rigorous data historization.
Support the development and enhancement of reports in Looker using LookML, ensuring that data is accessible and intuitive for end-users across global markets.
Work with a modern data stack (GCP, dbt, Looker) on projects that empower data-led decisions at a global scale.
Matching Summary
Match Score: 75
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Artefact is seeking a Senior Data Engineer skilled in GCP, dbt, and Looker to support high-stakes projects for a major global client. The ideal candidate will possess strong technical capabilities and business acumen, with a focus on developing scalable data pipelines and ensuring data visibility.
**
Skills & Requirements
Must-have
GCP (BigQuery)
dbt and SQL
Looker and LookML
ETL/ELT processes
pipeline architecture
data modeling best practices
Nice-to-have
Anaplan data logic
commercial/distribution data domains
builder's mindset
bridge technical and business value
Key Requirements
Bachelor’s or Master’s degree
Proficiency in SQL and dbt
Hands-on experience with Google Cloud Platform (BigQuery)