Senior Data Engineer (GCP / dbt / Looker)

Über diese Stelle

Who is Artefact?

Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.

With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders across various industries. Our Romandie office (Lausanne / Geneva) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and advanced data engineering.

Main Responsibilities

As a Data Engineer (GCP / dbt / Looker), you will join our team as an external consultant to support a high-stakes project for a major global player. You will be a key driver in the Business Insights & Analytics department, specifically supporting strategic network development initiatives.

You will focus on integrating and transforming data from planning systems into a robust GCP environment, enriching data visibility through Looker, and ensuring the long-term scalability of the data infrastructure. You will:

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Data Pipeline Development: Design and build scalable data pipelines using dbt and SQL on GCP (BigQuery). You will maintain existing pipelines, optimize for performance, and implement rigorous data historization.

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Business Collaboration: Work closely with international business teams to translate complex requirements into technical data solutions. You will participate in design workshops and advise on data structure and integration approaches.

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Reporting & Visualization: Support the development and enhancement of reports in Looker using LookML, ensuring that data is accessible and intuitive for end-users across global markets.

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Quality & Documentation: Deliver high-quality technical and functional documentation, conducting regular audits of data flows to ensure absolute accuracy and completeness.

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Proactive Advisory: Act as a technical partner, proposing innovative solutions to maximize the value extracted from raw data.

Candidate Profile

We are looking for an engineer first, consultant second – someone with a builder’s mindset and the ability to bridge the gap between technical architecture and business value.

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Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

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Technical Skills: Proficiency in SQL and dbt is essential. You must have hands-on experience with Google Cloud Platform (BigQuery).

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Data Modeling: Solid understanding of ETL/ELT processes, pipeline architecture, and data modeling best practices.

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Visualization: Working knowledge of Looker and…