Senior Databricks Data Platform Engineer – AI-Ready

LinkedIn Job Wrapping; Vaud; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Artefact is a Swiss-based data and AI consulting firm seeking a Senior Data Engineer to design and deliver client data platforms. You will combine hands-on engineering with advisory work, building modern Databricks lakehouse solutions, pipelines, and governance in a cross-functional environment.

Ideal candidates have 5+ years in data engineering, strong Python/SQL/Spark skills, and Databricks certification or commitment.

Qualifikationen

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

Aufgaben

• Design and deliver data platforms for clients, combining hands-on engineering with advisory.
• Build modern data platforms: lakehouse architectures on Databricks with reliability and cost control.
• Engineer batch and streaming pipelines using Python, Spark, and SQL with built-in data quality.
• Migrate legacy warehouses and ETL to the cloud from assessment to cut-over.
• Prepare data for AI with governed data products and semantic layers.
• Ensure governance, CI/CD, infrastructure as code, monitoring, and cost control.
• Translate business needs into roadmaps, coach junior engineers, and support proposals.

Kenntnisse

Databricks experience

Python

SQL

Spark

Data modeling

Consulting

Git

CI/CD

Terraform

Testing

Fluent English

Tools

Databricks

Azure

AWS

GCP

Git

CI/CD

Terraform

Testing

Jobbeschreibung

Artefact is a Swiss-based data and AI consulting firm seeking a Senior Data Engineer to design and deliver client data platforms. You will combine hands-on engineering with advisory work, building modern Databricks lakehouse solutions, pipelines, and governance in a cross-functional environment.

Ideal candidates have 5+ years in data engineering, strong Python/SQL/Spark skills, and Databricks certification or commitment.