h3Who is Artefact? /h3 /brpArtefact 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. /p /brh3Main Responsibilities /h3 /brpYou will design and deliver the data platforms our clients run their business and their AI on, combining hands-on engineering with client advisory. /p /brul /brlibBuild modern data platforms: /b End-to-end lakehouse architectures, mainly on Databricks, built for reliability, observability, and cost. /li /brlibEngineer pipelines: /b Batch and streaming pipelines with Python, Spark, and SQL, with data quality built in. /li /brlibMigrate and modernize: /b Move legacy warehouses and ETL to the cloud, from assessment to cut-over. /li /brlibMake data ready for AI: /b Governed data products and semantic layers that analytics and AI agents can rely on. /li /brlibRun it properly: /b Data governance, CI/CD, infrastructure as code, monitoring, and cost control. /li /brlibAdvise and support: /b Translate business needs into roadmaps, coach junior engineers, and support proposals. /li /br /ul /brh3Candidate Profile /h3 /brpEngineer first, consultant second, with a track record of shipping to production. /p /brul /brli5+ years in data engineering, including hands-on Databricks experience in production. /li /brliExpert Python and SQL, with strong Spark and data modeling skills. /li /brliDatabricks Data Engineer Professional certification, or a commitment to obtain it within 6 months (we support you). /li /brliExperience on Azure, AWS, or GCP, plus DataOps (Git, CI/CD, Terraform, testing). /li /brliStrong consulting skills: requirements gathering, documentation, stakeholder management. /li /brliFluent English plus French or German (both is a plus); eligible to work in Switzerland. /li /br /ul /brh3Nice to have /h3 /brpExperience with other data platforms (Snowflake, Microsoft Fabric, BigQuery), dbt, MLOps, and industry experience (consumer goods, pharma, logistics, insurance, manufacturing). /p /brh3Why Join Us /h3 /brul /brlibStrategy with a Data Edge: /b Build the platforms behind boardroom priorities. /li /brlibSwiss Impact: /b High visibility from day one on flagship programs, working directly with senior leadership. /li /brlibStrong Tech Ecosystem: /b Certified peers across Artefact and close partnerships with leading data and cloud platforms. /li /brlibGrowth and Culture: /b Certifications, training, international missions, and a team of doers who move fast and support each other. /li /br /ul /brpIf you don’t meet 100% of the criteria, we still want to hear from you. Tell us about your passion, curiosity, and impact. /p
Senior Data Engineer (Databricks) Arbeitgeber: Artefact
Artefact ist ein hervorragender Arbeitgeber, der eine dynamische und unterstützende Arbeitskultur bietet, in der Eigenverantwortung und intellektuelle Neugier geschätzt werden. Mit einem starken Fokus auf kontinuierliches Lernen und persönlicher Weiterentwicklung ermöglicht das Unternehmen seinen Mitarbeitern, an der Spitze der KI-Revolution zu arbeiten und aktiv zur Gestaltung des Geschäftswachstums beizutragen. Die Standorte Berlin und München bieten nicht nur Zugang zu einem vielfältigen Kundenstamm, sondern auch die Möglichkeit, in einem schnell wachsenden Team mit hoher Sichtbarkeit zu arbeiten.
