Databricks · Data · AI
Who is Artefact?
Artefact is a next-generation strategy and data consulting firm that transforms organizations through data and AI. With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders. From our Lausanne and Zurich offices, we help leading Swiss and international companies turn data and AI into measurable results, working with the leading data platforms, including Databricks.
Main Responsibilities
You will design and deliver the data platforms our clients run their business and their AI on, combining hands-on engineering with client advisory.
- Build modern data platforms: End-to-end lakehouse architectures, mainly on Databricks, built for reliability, observability, and cost.
- Engineer pipelines: Batch and streaming pipelines with Python, Spark, and SQL, with data quality built in.
- Migrate and modernize: Move legacy warehouses and ETL to the cloud, from assessment to cut-over.
- Make data ready for AI: Governed data products and semantic layers that analytics and AI agents can rely on.
- Run it properly: Data governance, CI/CD, infrastructure as code, monitoring, and cost control.
- Advise and support: Translate business needs into roadmaps, coach junior engineers, and support proposals.
Candidate Profile
Engineer first, consultant second, with a track record of shipping to production.
- 5+ years in data engineering, including hands-on Databricks experience in production.
- Expert Python and SQL, with strong Spark and data modeling skills.
- Databricks Data Engineer Professional certification, or a commitment to o