3 days ago
Lausanne, SwitzerlandSenior
Responsibilities
- Design and deliver end-to-end lakehouse data platforms primarily on Databricks.
- Build batch and streaming data pipelines with Python, Spark, and SQL, including data quality controls.
- Migrate legacy data warehouses and ETL processes to the cloud from assessment through cut-over.
- Create governed data products and semantic layers for analytics and AI agents.
- Implement data governance, CI/CD, infrastructure as code, monitoring, reliability, observability, and cost control.
- Translate client business needs into technical roadmaps, gather requirements, document solutions, coach junior engineers, and support proposals.
Requirements
- 5+ years of data engineering experience, including hands-on Databricks experience in production.
- Expertise in Python and SQL, with strong Spark and data modeling skills.
- Databricks Data Engineer Professional certification or commitment to obtain it within 6 months.
- Experience with Azure, AWS, or GCP and DataOps practices including Git, CI/CD, Terraform, and testing.
- Strong consulting skills including requirements gathering, documentation, and stakeholder management.
- Fluent English plus French or German; fluency in both French and German is a plus.
- Eligibility to work in Switzerland.
- Nice-to-have experience with Snowflake, Microsoft Fabric, BigQuery, dbt, MLOps, or relevant industry domains.
Benefits
- Certification support, training, international missions, and opportunities for professional growth.
- Work on high-visibility flagship programs with direct exposure to senior leadership.
- Work with certified peers and leading data and cloud platform partners.
- Role based from the Lausanne or Zurich offices; the posting does not specify a remote or hybrid arrangement.
Tech Stack
Categories
Data Engineering
About Artefact
Artefact is a Paris‑headquartered consulting and engineering firm that builds data and AI solutions for large enterprises, from strategy and governance to platforms, MLOps, and data‑driven marketing. It operates across 27 countries and works with brands such as L’Oréal and Sanofi. The company is privately held and monetizes through consulting engagements, industrialized AI projects, and managed data services.