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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 such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) 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 new business model design.
As a Senior AI & Data Engineer, you will be the architect of the "AI Factory." Your role is less about training models from scratch and more about building the industrial-grade pipelines, infrastructure, and security frameworks required to run AI in a highly regulated environment.
Production-Grade AI Infrastructure: Design and implement robust MLOps and LLMOps pipelines specifically for banking environments, focusing on data residency, air-gapping possibilities, and high availability.
Data Engineering for AI: Build scalable ETL/ELT pipelines to feed RAG (Retrieval-Augmented Generation) systems, ensuring data lineage, quality, and strict access control (RBAC).
DevOps & Automation: Own the CI/CD lifecycle for AI assets. Automate the deployment of model APIs, vector databases, and monitoring stacks using Infrastructure as Code (IaC).
Hybrid Cloud & On-Prem: Navigate complex hybrid-cloud architectures (Azure/AWS/GCP vs. Private Cloud) common in Swiss banking.
Technical Advisory: Act as a bridge between IT Infrastructure, Risk/Compliance, and Business units to translate AI potential into stable, governed reality.
Engineer first, consultant second — with a builder’s mindset and a track record of shipping.
The "DevOps" Stack: Expert knowledge of Docker, Kubernetes (K8s), and CI/CD tools (GitHub Actions, GitLab CI, or Jenkins). Experience with Terraform or Pulumi is a strong plus.
The "Data" Stack: Advanced SQL and Python. Deep experience with data orchestration (Airflow, Dagster), streaming (Kafka), and modern data warehouses (Snowflake, Databricks).
AI/LLM Implementation: Hands-on experience with the "plumbing" of AI: Vector databases (Milvus, Qdrant, or pgvector), model serving (BentoML, vLLM), and RAG orchestration (LangChain/LlamaIndex).
Banking Domain: Solid understanding of financial data structures and the regulatory landscape (Model Risk Management, Audit trails, Data anonymization).
Languages: English is mandatory. German (B2 or higher) is a significant advantage for the Zurich market and stakeholder management.
Education: Master’s degree in Computer Science, Software Engineering, or a related quantitative field.
Nice to have
Experience with responsible AI/governance frameworks, security reviews, and cost optimization.
Domain experience in finance.
Contributions to open-source, publications, or conference talks.
Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering.
Zurich Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership.
Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice.
Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth.
Location: Zurich
If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.
Ready to apply?
Apply to LinkedIn Job WrappingShare this job
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 such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) 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 new business model design.
As a Senior AI & Data Engineer, you will be the architect of the "AI Factory." Your role is less about training models from scratch and more about building the industrial-grade pipelines, infrastructure, and security frameworks required to run AI in a highly regulated environment.
Production-Grade AI Infrastructure: Design and implement robust MLOps and LLMOps pipelines specifically for banking environments, focusing on data residency, air-gapping possibilities, and high availability.
Data Engineering for AI: Build scalable ETL/ELT pipelines to feed RAG (Retrieval-Augmented Generation) systems, ensuring data lineage, quality, and strict access control (RBAC).
DevOps & Automation: Own the CI/CD lifecycle for AI assets. Automate the deployment of model APIs, vector databases, and monitoring stacks using Infrastructure as Code (IaC).
Hybrid Cloud & On-Prem: Navigate complex hybrid-cloud architectures (Azure/AWS/GCP vs. Private Cloud) common in Swiss banking.
Technical Advisory: Act as a bridge between IT Infrastructure, Risk/Compliance, and Business units to translate AI potential into stable, governed reality.
Engineer first, consultant second — with a builder’s mindset and a track record of shipping.
The "DevOps" Stack: Expert knowledge of Docker, Kubernetes (K8s), and CI/CD tools (GitHub Actions, GitLab CI, or Jenkins). Experience with Terraform or Pulumi is a strong plus.
The "Data" Stack: Advanced SQL and Python. Deep experience with data orchestration (Airflow, Dagster), streaming (Kafka), and modern data warehouses (Snowflake, Databricks).
AI/LLM Implementation: Hands-on experience with the "plumbing" of AI: Vector databases (Milvus, Qdrant, or pgvector), model serving (BentoML, vLLM), and RAG orchestration (LangChain/LlamaIndex).
Banking Domain: Solid understanding of financial data structures and the regulatory landscape (Model Risk Management, Audit trails, Data anonymization).
Languages: English is mandatory. German (B2 or higher) is a significant advantage for the Zurich market and stakeholder management.
Education: Master’s degree in Computer Science, Software Engineering, or a related quantitative field.
Nice to have
Experience with responsible AI/governance frameworks, security reviews, and cost optimization.
Domain experience in finance.
Contributions to open-source, publications, or conference talks.
Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering.
Zurich Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership.
Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice.
Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth.
Location: Zurich
If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.
Ready to apply?
Apply to Welcome to the JungleShare this job
Artefact is a next-generation strategy and data consulting firm. We sit at the intersection of top-tier strategy consulting and deep technical expertise. Our mission is to transform data into a competitive advantage for the world’s largest brands.
In our Romandie office, we don't just "process" data—we use it to solve high-stakes business puzzles. We are looking for a Senior Consultant who can bridge the gap between complex data ecosystems and executive-level decision-making.
As a Senior Analytics Consultant, you are the primary link between a major global client’s business goals and their technical infrastructure. This role isn't about building heavy infrastructure from scratch; it’s about Analytics Engineering—architecting the logic that turns raw information into business intelligence.
Strategic Stakeholder Management: Lead workshops with international business leads to define KPIs and translate vague business questions into precise technical requirements.
Analytics Engineering (dbt & BigQuery): Design and maintain high-quality data models. You will own the "logic layer," ensuring that data is transformed, historized, and optimized for business use cases.
Storytelling & Visualization: Architect the Looker (LookML) environment. You will ensure that dashboards aren't just "pretty," but are actionable tools that global markets rely on daily.
Process Leadership: Act as the guardian of data quality. You will define documentation standards, conduct audits, and ensure the long-term scalability of the analytics solution.
Proactive Advisory: As a Senior member, you are expected to challenge the status quo. You will identify opportunities where data can drive more value and propose roadmap enhancements to the client.
We are looking for a "Translator." You should be someone who enjoys the nuance of business operations just as much as a clean SQL query.
The Mindset: You are a consultant first. You understand that tech is a means to an end. You are comfortable presenting to senior stakeholders and can explain complex data flows in simple, commercial terms.
Technical Proficiency: * Expert-level SQL and significant experience with dbt.
Hands-on experience with the Google Cloud Platform (BigQuery).
Professional mastery of Looker and LookML.
Business Acumen: You have a solid grasp of how global corporations operate (supply chain, distribution, or commercial data). Experience with Anaplan logic is a major plus.
Experience: 3+ years in data analytics, business intelligence, or consulting. You have a track record of owning projects from requirements gathering to final delivery.
Languages: Fluency in English and French are mandatory.
Senior Impact: You will have high visibility within the firm and with the client. You aren't a cog in a machine; you are an architect of solutions.
Modern Analytics Stack: We focus on the "best of breed" tools (GCP, dbt, Looker), allowing you to spend more time on insights and less time on technical "plumbing."
Entrepreneurial Culture: We are a fast-growing team in Switzerland. You will help shape the culture and the way we deliver projects.
Focus on Value: We prioritize tangible business impact over technical vanity projects.
This position is located in the Geneva area.
Ready to apply?
Apply to LinkedIn Job WrappingShare this job
Artefact is a next-generation strategy and data consulting firm. We sit at the intersection of top-tier strategy consulting and deep technical expertise. Our mission is to transform data into a competitive advantage for the world’s largest brands.
In our Romandie office, we don't just "process" data—we use it to solve high-stakes business puzzles. We are looking for a Senior Consultant who can bridge the gap between complex data ecosystems and executive-level decision-making.
As a Senior Analytics Consultant, you are the primary link between a major global client’s business goals and their technical infrastructure. This role isn't about building heavy infrastructure from scratch; it’s about Analytics Engineering—architecting the logic that turns raw information into business intelligence.
Strategic Stakeholder Management: Lead workshops with international business leads to define KPIs and translate vague business questions into precise technical requirements.
Analytics Engineering (dbt & BigQuery): Design and maintain high-quality data models. You will own the "logic layer," ensuring that data is transformed, historized, and optimized for business use cases.
Storytelling & Visualization: Architect the Looker (LookML) environment. You will ensure that dashboards aren't just "pretty," but are actionable tools that global markets rely on daily.
Process Leadership: Act as the guardian of data quality. You will define documentation standards, conduct audits, and ensure the long-term scalability of the analytics solution.
Proactive Advisory: As a Senior member, you are expected to challenge the status quo. You will identify opportunities where data can drive more value and propose roadmap enhancements to the client.
We are looking for a "Translator." You should be someone who enjoys the nuance of business operations just as much as a clean SQL query.
The Mindset: You are a consultant first. You understand that tech is a means to an end. You are comfortable presenting to senior stakeholders and can explain complex data flows in simple, commercial terms.
Technical Proficiency: * Expert-level SQL and significant experience with dbt.
Hands-on experience with the Google Cloud Platform (BigQuery).
Professional mastery of Looker and LookML.
Business Acumen: You have a solid grasp of how global corporations operate (supply chain, distribution, or commercial data). Experience with Anaplan logic is a major plus.
Experience: 3+ years in data analytics, business intelligence, or consulting. You have a track record of owning projects from requirements gathering to final delivery.
Languages: Fluency in English and French are mandatory.
Senior Impact: You will have high visibility within the firm and with the client. You aren't a cog in a machine; you are an architect of solutions.
Modern Analytics Stack: We focus on the "best of breed" tools (GCP, dbt, Looker), allowing you to spend more time on insights and less time on technical "plumbing."
Entrepreneurial Culture: We are a fast-growing team in Switzerland. You will help shape the culture and the way we deliver projects.
Focus on Value: We prioritize tangible business impact over technical vanity projects.
This position is located in the Geneva area.
Ready to apply?
Apply to ArtefactCookies & analytics
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