Senior Data Engineer | Databricks & Data Platform Architect

Artefact; Lausanne; Vor Ort; CHF 130.000 - 170.000; Vollzeit

Zusammenfassung

Artefact is a leading data and AI consultancy with Lausanne and Zurich offices, delivering end-to-end data platforms and AI readiness for global clients. The team combines hands-on engineering with client advisory to build scalable lakehouse architectures on Databricks, and to migrate warehouses to the cloud.

We seek engineers with 5+ years in data engineering, strong Python/SQL and Spark skills, and cloud experience (Azure/AWS/GCP).

Qualifikationen

• 5+ years in data engineering.
• Expert Python and SQL, with strong Spark and data modeling skills.
• Databricks Data Engineer Professional certification, or commitment to obtain it within 6 months.
• Experience on Azure, AWS, or GCP, plus DataOps (Git, CI/CD, Terraform, testing).
• Strong consulting skills: requirements gathering, documentation, stakeholder management.
• Fluent English plus French or German; eligible to work in Switzerland.

Aufgaben

• 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.

Kenntnisse

Python

SQL

Spark

Data modeling

Data governance

Stakeholder management

Fluent English

Ausbildung

Databricks Data Engineer Professional certification

Tools

Databricks

Azure

AWS

GCP

Git

Terraform

CI/CD

Jobbeschreibung

Artefact is a leading data and AI consultancy with Lausanne and Zurich offices, delivering end-to-end data platforms and AI readiness for global clients. The team combines hands-on engineering with client advisory to build scalable lakehouse architectures on Databricks, and to migrate warehouses to the cloud.

We seek engineers with 5+ years in data engineering, strong Python/SQL and Spark skills, and cloud experience (Azure/AWS/GCP).